Model Releases & Specifications
Announcements and technical specs of Grok model versions (Grok 4.3, 4.20 Beta, 4.5, 4.6, 4.7 roadmap): pricing per million tokens, context windows, tokens-per-second, release cadence.
30%
Read the best tweets about Grok and xAI, including model updates, features, benchmarks, developer access, and user experiments. Updated every two weeks.
Specific Grok and xAI analysis, demonstrations, releases, and firsthand usage instead of incidental mentions.
Original Xholic analysis
Across 50 posts from 41 creators, Grok coverage centers on firsthand product usage rather than passing mention: Grok Bot agent setups and workflows, Grok Build coding sessions, model releases and specs, and X-data workflows. Engagement is heavily skewed toward Grok Bot agent content, whose theme median all-time score (1064.09) is roughly 26x the corpus median (40.62); the single top-performing post is a thread summarizing a Princeton researcher's paper on sponsored recommendations, reporting that Grok 4.1 Fast recommended the sponsored, pricier option 83% of the time (2052433622616191476). Stance is overwhelmingly supportive (49 of 50 posts, 98%), with criticism rare and focused on usage-
88% of posts
All-time engagement
100% of posts
Published in 90 days
Conversation map
Announcements and technical specs of Grok model versions (Grok 4.3, 4.20 Beta, 4.5, 4.6, 4.7 roadmap): pricing per million tokens, context windows, tokens-per-second, release cadence.
30%
Grok model scores on Artificial Analysis, SWE Bench Pro, Terminal-Bench, AA-Omniscience, IFBench, APEX-SWE; head-to-head positioning vs GPT, Claude Opus/Fable, Gemini, Qwen; hallucination rates and instruction-following.
16%
Grok Bot agent platform: setup guides, specialized bot teams, chief-of-staff coordinators, bot-to-bot communication, cloud computers, routines, and enterprise/community use case playbooks.
14%
Personal accounts of building real projects with Grok Build and Grok coding models: toy projects, production apps, dashboard builds, workflow observations, and comparisons to Claude Code.
10%
xAI's terminal coding agent: release cadence, subagents, plan mode, 2M context, skills/plugins/MCP/hooks, open-sourcing of the harness, feature deep-dives and release notes.
10%
Individual power-user workflows built on Grok Bot: automated news briefs from X lists, Notion databases, newsletter publishing pipelines, 24/7 community monitoring, content repurposing.
10%
Grok's exclusive access to X as a differentiator: real-time trend analysis, synthesizing post replies, mining posts for insights, list-based news aggregation, and X-specific growth strategy.
8%
The Cursor data partnership and coding-focused supplementary training as a strategic signal in Grok V9/4.5+ development.
2%
Tone and stance
Performance benchmark
Posts with media make up 66% of this collection. Their median all-time score is 33.0, compared with 47.7 for text-only posts.
Format mix
Consensus and debate
Shared view
Model releases and specifications account for 30% of posts (15 of 50), with concrete figures: Grok 4.3 priced at $1.25/$2.50 per million tokens, a 1 million-token context window, and ~100 tokens/second (2050262194814910802, 2051703217697010103), and a Grok 4.6 announcement described by its author as a significant improvement over Grok 4.5 at the same price (2087562800982077492).
Shared view
Grok Bot (an early-beta agent platform) draws the strongest engagement: the theme's median all-time score (1064.087) far exceeds the corpus median (40.62). Coverage spans a launch post (2087224798078517251), step-by-step setup guides (2114217410823688573, 2088010966667866149), multi-bot team playbooks (2093337680452968873, 2087902756652954005), and firsthand workflow accounts (2088666462819082645, 2087371098920763631
Shared view
Authors describe running Grok Bot continuously for community monitoring, AI-news alerting, content repurposing, and daily X research briefs (2088666462819082645, 2095889020203291117, 2087371098920763631, 2114188440040509557, 2112950764348014878), consistently citing the integrated cloud computer, X plugin/MCP access, routines, and bot-to-bot handoffs as the enabling features.
Shared view
Multiple authors independently identify Grok's X integration as its edge: mining posts for insights, synthesizing hundreds of replies, list-based hourly news pages, and X-growth strategy (2048902808565612792, 2038050110257742237, 2036941060107317622, 2095889020203291117).
Open debate
Announcement-style posts describe recent Grok versions in superlative terms (2087562800982077492), while independent evaluation posts are more measured: Artificial Analysis scored Grok 4.20 Beta (Reasoning) at 48 on its Intelligence Index, below the frontier of 57, though leading tested models on non-hallucination (78%) and instruction following (82.9% IFBench) (2032150888530526411, 2032190330783875147); Mercor's APE
Open debate
One author claims Grok 4.5 beats both Opus 4.8 and Fable 5 on a long-horizon agentic benchmark (2080659421131125126), while Mercor's leaderboard places Grok 4.5 #2 at 51.2% Pass@1 behind Fable 5's 65.5% on APEX-SWE (2075792789690888640); the two posts cannot both be describing the same result, so the specific benchmark matters when citing either.
Open debate
Alex Finn calls Grok Bot 'the best AI agent out there right now' while explicitly conceding other agents can do everything it does, crediting the user experience (2088666462819082645); Derya Unutmaz independently notes the same workflows are not unique to Grok Bots but found the process 'incredibly easy and intuitive' (2087371098920763631).
What performs
The top post scores 5260.84, ~130x the corpus median of 40.62; it is a thread summarizing a Princeton researcher's paper on sponsored recommendations across 23 frontier models, including Grok 4.1 Fast recommending the sponsored, nearly twice-as-expensive option 83% of the time (2052433622616191476). Four of the five outlier posts are Grok Bot-related (2114217410823688573, 2089995692874068433, 2087224798078517251) or
Despite 66% of posts containing media (33 of 50), text-only posts have a higher median all-time score (47.714) than media posts (32.967); the top two posts overall are both text-based threads/guides (2052433622616191476, 2114217410823688573).
Grok Bot agent content has a theme median of 1064.087 and personal-agent-automation content 137.395, while first-hand coding impressions (2.727) and Grok Build feature coverage (4.147) sit far below the corpus median of 40.62 โ practical how-to agent content outperformed both release news and coding deep-dives in this sample.
Median engagement per post is 353 likes, 23,400 views, 45 replies, and 34 reposts. The corpus skews older: median post age is 133.9 days and only 13 of 50 posts (26%) were published within 90 days of the retrieval window (newest 2026-10-25, oldest 2025-08-29).
Statistical standouts
Creator landscape
The five most represented creators account for 20% of the selected posts.
1. Alex Finn
@AlexFinn
2 posts
2. Artificial Analysis
@ArtificialAnlys
2 posts
3. Elon Musk
@elonmusk
2 posts
4. Machina
@EXM7777
2 posts
5. Mark Kretschmann
@mark_k
2 posts
6. SpaceX Super Intelligence
@SpaceXSI
2 posts
Elon Musk leads the top voices with a median all-time score of 2033.88 across 2 posts, both Grok Imagine video demos (2050310001600893382, 2034568429362188790). SpaceX Super Intelligence (592.51) and Eric Jiang (466.53) follow; Jiang's posts are written from an xAI team-member perspective, including a year-in-review and Grok 4.3 spec details (2006587457748529651, 2050262194814910802).
50 posts come from 41 distinct creators, with the top five accounts accounting for 20% of placements โ a broad, low-concentration conversation rather than a few dominant voices. Artificial Analysis contributes two independent evaluation posts (2032190330783875147, 2032150888530526411), and Alex Finn pairs a high-scoring Grok Bot workflow post with a lower-scoring 24-hour hackathon build at xAI HQ (2088666462819082645
Since the previous snapshot
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Grok tweets
Ranked 01โ50
@heynavtoor ยท
a Princeton researcher opens his paper with a scenario. a man asks his AI assistant to book a flight on a specific airline. cheap. direct. the one he chose. the assistant comes back with a different flight. nearly twice the price. happens to pay the company that built the assistant. he runs the same test on 23 frontier models. flights, loans, study help, real shopping requests. Grok 4.1 Fast recommends the sponsored option that is almost twice as expensive 83% of the time. GPT 5.1 hijacks the request 94% of the time. you ask for one brand. it surfaces the sponsor instead. Claude 4.5 Opus, the model marketed as the most ethical frontier model in the world, hides that the recommendation is paid 100% of the time when reasoning is on. Grok 4.1 Fast embellishes the sponsored option with positive framing 97% of the time. better. faster. nicer. for the option you didn't ask for. then he writes it into the system prompt itself. "act only in the interest of the customer. ignore the company." GPT 5.1 and GPT 5 Mini stay above 90% sponsored anyway. the instruction does nothing. then he splits the users by income. Gemini 3 Pro recommends the expensive sponsored flight to the rich user 74% of the time. to the poor user, 27%. 18 of the 23 models recommended the expensive sponsored option more than half the time. so the next time your AI assistant gets weirdly enthusiastic about a brand you didn't ask for. it isn't recommending the best option for you. it's reading the room. and the room is paying. read this: https://t.co/O43qbhIX2b

@Texas_Twins_Dad ยท
Everyone said "Hey Grok" was impossible on iPhone. Even Grok said Apple keeps wake words for Siri only. So I kept digging, and I found a way. Now I just say "Hey Grok" and Grok Bot voice chat opens. No extra apps, no cost, all built into iOS. How to set it up: 1. Make sure your Grok Bot app is up to date 2. Shortcuts app โ + โ Add Action โ search "Grok Bot" โ pick "Start Voice Chat with Bot" 3. Settings โ Accessibility โ Vocal Shortcuts โ Set Up โ pick that shortcut โ type "Hey Grok" and say it 3 times 4. In the shortcut's details, turn on "Allow Running When Locked" If your phone is locked, iOS asks for one tap first. If Face ID already unlocked it, it's fully hands-free.
@sairahul1 ยท
Grok Bot is the best AI agent right now It gives you an army of agents that can do work for you 24/7 If you set it up correctly, you gain super powers In this article, I cover setting up Grok Bot, use cases, plugins and what makes Grok Bot so good https://t.co/4gzbtLmVbr
@bot ยท
Introducing Grok Bot, now in early beta. Bots are AI teammates that do real work for you. They sign in to your tools, use them just like you do, and come back with finished work.
@elonmusk ยท
Grok Imagine tutorial made with Grok Imagine. These is all AI-generated!
@elonmusk ยท
Minute-long story made w Grok Imagine
@SpaceXSI ยท
Introducing Grok 4.6. It delivers frontier intelligence and is a significant improvement over Grok 4.5 at the same price.

@XFreeze ยท
SpaceXAI has built an entire Grok Bot Guides library showing how people are actually using AI agents as real teammates These are practical playbooks from people already running Grok Bot for: โข Mobile app development โข Product management โข Design โข Enterprise GTM โข Managing multiple teams of agents And these are not just chatbot workflows Each Grok Bot can have its own role, memory, cloud computer, connected tools, recurring routines and learned skills, then hand work directly to other specialized bots One example runs a six-bot mobile game studio across analytics, creative, engineering, infrastructure and bug fixing Another has a PM running a Chief of Staff, engineering manager, five engineering agents, data analyst, product agent and recruiter There are even setups where entire projects get their own channel, roster of bots and Notion board, basically organizing AI agents like a human team This is probably one of the most useful resources SpaceXAI has published for understanding what working with a real team of AI agents actually looks like You can check out the entire library here: https://t.co/RAaw7VwijP



@AlexFinn ยท
After using Grok Bot nonstop for the past week I'm going to say it: it's the best AI agent out there right now Dead simple and just works It eliminates the 10,000 decisions, configs, and fixes that scare people off The integrated cloud computer unlock so many use cases too: 1. Invited the cloud computer to my community. It opened it up and now monitors the community 24/7. Answering questions and DMs 2. Uses the X plugin to monitor all the AI companies X accounts every 15 minutes around the clock. Looking for updates and big news, alerting me the moment it happens 3. Clicks around testing the 2 apps I'm building around the clock. Looking for bugs, thinking of new features, then writing the PRs and waiting for my review 4. My Grok Bot checks my social media channels around the clock. Moment I post anything, it repurposes the content based on other content I've posted, making writing my newsletter much easier 5. The integrated Grok images are really nice. So I can tell it to go to my YT on its cloud computer and make similar thumbnails for my new videos 6. Checks data in post hog on my product retention, gives me a list of at risk subscribers, prepares emails and reachout, then asks me for the OK Can the other AI agents out there do this? Yes. There's literally nothing Grok Bot can do that the others can't. But here's the thing, the user experience is designed so beautifully that it unhobbles all of these use cases and make them so much more pleasant to execute on Grok Bot is a must try
@veggie_eric ยท
Back in January, nobody had heard of Grok. We basically just had Grok 2 and an image gen model. To put it bluntly, we were playing catchup. 1 year later, our team has built the world's largest GPU cluster, benchmark-topping reasoning models, Grok Voice, Grok Imagine, beautiful mobile apps, X/web apps, a robust API, and more. And we're only just getting started. Thank you all for being a part of our journey so far, and buckle up. 2026 is going to be a massive year for xAI ๐
@veggie_eric ยท
When training Grok 4.3, we spoke directly with devs and businesses to understand what they actually needed: a model thatโs fast, affordable, and great at tool calling. The result is a daily driver that doesn't just look good on random benchmarks, but is actually useful in the real world. ๐ฐ $1.25 in / $2.50 out โก๏ธ 100 tokens / second ๐ 1 million context window Try it through Hermes Agent or direct through the xAI API!

@EXM7777 ยท
how to perform advanced research on X: - setup a simple agent inside Grok Bot and connect your X account - use the official X MCP to research keywords, bookmarks and trends - install the Apify CLI to extract the full tweet history of any profile all of it powered by Grok 4.6... the best model for searching X, since it's the only one with exclusive access you can have Grok Bot perform research daily and send you a detailed brief every morning instead of having to scroll for hours
@petergyang ยท
I think Grok @Bot is a glimpse into the future of personal AI agents. Here's my new tutorial where I show you how to set up 5 useful bots: 1. An advisor to create and manage your bots 2. A YouTube researcher to find outlier videos 3. An X scout to find viral and funny tweets 4. A digital Marie Kondo to clean up your inbox and save money on paid subscriptions 5. A personal concierge to save money on trips I also tested a Gamer bot to see if Grok Bot can install and play classic games like Doom, Red Alert, and Commander Keen. Plus, I discuss the biggest barrier to Grok Bot adoption and whether it can replace ChatGPT as my daily driver. ๐ Watch now: https://t.co/gqQ4TclPtM
@mark_k ยท
Grok Build is very close now. Release is expected next week unless something major causes a delay. Grok Build is @xAIโs answer to Claude Code and Codex. It consists of a suite of specialized coding models, variants of Grok 4.3, along with full tooling in the form of a web app and CLI. Grok Build is very important for both xAI and its users. Strong alternatives to the big two in AI coding are sorely needed.
@XFreeze ยท
Grok expansion this month is unbelievable Most people still do not realize what is happening Grok is being plugged directly into the tools people already use every day: โข Interactive Brokers โ portfolio analysis, market research, strategy + order instructions โข AWS Bedrock โ enterprise access to Grok 4.3 โข Databricks โ AI agents + data workflows โข Microsoft Word, Excel & PowerPoint โ office productivity โข Vapi โ voice agents โข eToro โ real-time market sentiment inside Tori โข Gopuff โ AI shopping assistant โข Warp โ coding + terminal workflows โข T3code โ AI coding-agent workflows โข Vercel โ deployments, build status + domains โข MongoDB โ database management + queries โข Sentry โ debugging + error analysis โข Cloudflare โ Workers + infrastructure tools โข Chrome DevTools โ browser control + performance testing โข Firecrawl โ web search, scraping + page interaction โข Superpowers โ agent workflow plugins And that is not even the full list Grok Build also added /goal for long-running autonomous tasks, Agent Dashboard for managing multiple coding sessions along with Grok Build 0.1 & Grok Composer 2.5 Grok Imagine Video 1.5 is now faster, better, and live across API, web, iOS, and Android Grok Connectors already plug into Google Workspace, Outlook, SharePoint, OneDrive, Notion, GitHub, Linear, and custom MCP servers Finance. Cloud. Coding. Voice. Shopping. Data. Office work. Browsers. Developer tools. Agents Grok is moving from โAI you chat withโ to โAI that works inside everythingโ xAIโs execution speed right now is insane

@DeryaTR_ ยท
I created a Grok Bot and gave it a task: scan X feeds from the past couple of days for new AI & robotics releases, then create a Notion database and add everything it finds. Within minutes, it had created the entire database! Iโve now set it up as an automation that scans X every day, finds new AI and robotics releases, and continuously adds them to the database. So the database essentially grows and updates itself every day, with my Grok Bot doing the work! This is, of course, not unique to Grok Bots, you can build similar workflows with other agentic systems. But Grok Bots made the whole process incredibly easy and intuitive. Iโve already set up more than a dozen bots, and Iโll likely keep adding more!

@SawyerMerritt ยท
NEWS: xAI is looking to hire bankers and private credit lenders to make its Grok chatbot better at finance strategy, joining rival AI firms in pushing software for investing professionals. xAI is actively recruiting Wall Street bankers, portfolio managers, traders and credit analysts for its data annotation teams that train Grok, according to a series of job postings on its website. These experts are expected to teach the AI system to think through financial modeling, including leveraged loan syndication, distressed investing and niche bonds such as mortgage-backed securities and collateralized loan obligations. https://t.co/CTJLscuP2m
@morganlinton ยท
I've been using Grok Build since the first 24-hours it was made available. It is still my favorite agentic coding cli, and there are so many little features I just love. So I thought I'd put together a little thread on what makes Grok Build so special, and some features you should try if you haven't yet. Let's kick it off ๐งต
@SpaceXSI ยท
Grok 4.3 is now live on the xAI API. Itโs our fastest, most intelligent model to date. It tops the @ArtificialAnlys leaderboards in agentic tool calling and instruction following, and ranks #1 in @ValsAI enterprise domains like case law and corporate finance. Grok 4.3 supports a 1 million token context window and is priced at $1.25/m input and $2.50/m output. Create an API key and start building: https://t.co/JDRUt1UOUm

@EXM7777 ยท
grok bot just released and it's VERY impressive... here's how to get the best out of it: > give each bot one job: inbox, outbound, ops, one lane each > put a chief of staff bot on top so you're not the middleman > do the job once while it watches, it saves the routine and runs it alone next time > sign it into your real tools, it has its own computer and works inside apps that have no API > say what done means, otherwise the bot decides for you > make it verify before reporting back: open the app, click the real path, fix what it finds the bots message each other, share context and get sharper every week this is the closest thing to hiring i've seen from an ai lab

@tetsuoai ยท
๐จ xAIโs Grok pricing ladder. Free โข Grok 4.20 with very tight limits โข ~10 prompts / 10 hours SuperGrok Lite ($10/mo) โข Grok 4.20 โข 1x AI agent on Expert mode โข 480p image + 6 second video SuperGrok (3 days free, then $30/mo) โข Grok 4.20 โข 4x AI agents on Expert mode โข longer context โข 720p image + up to 30 second extended video โข longer clips โข higher usage limits SuperGrok Heavy ($300/mo) โข Grok 4.20 Heavy โข 16x AI agents on Heavy Mode โข maximum compute priority โข longest context โข highest throughput โข significantly higher image + video generation โข early access to new features What theyโre pricing: โข agent count โข context โข generation volume โข compute priority
@AlexFinn ยท
Over the weekend I hacked for 24 hours at the xAI headquarters I built a brand new, AI-driven post composer for X Instead of staring at a blank screen, you get a Grok powered assistant that helps you write content Should X implement this onto the site? Full demo video here:
@ArtificialAnlys ยท
The Grok 4.20 Beta shows three major improvements over Grok 4: โค Our lowest ever hallucination rate on the AA-Omniscience evaluation. When Grok did not know the answer, it hallucinated an incorrect answer 22% of the time - this is the lowest hallucination rate of any model we have tested, topping Claude Haiku 4.5 (25%) โค Top scores for instruction following and prompt adherence. On IFBench, Grok 4.20 takes the #1 spot with 82.9% - a +29.2 point increase on Grok 4 โค Leading speed for its intelligence. At 265 tokens per second output speed on xAIโs API, Grok 4.20 is significantly faster than its peer and over 2x the output speed seen from Grok 4.1 Fast Congratulations to @xai and @elonmusk on the 4.20 Beta 0309 launch!

@iruletheworldmo ยท
tried grok again today and it now feels much better than opus on many things. xai seem to be the only lab make improvements every week. not sure how do it. groks long context and low hallucination rates has proved very useful. grok is the best model in the world for low hallucination rates. so i spend way less time checking output. grok imagine feels level with anything else ive tried also. i wondered when that compute would pay off. a bitter pill to swallow for dario and his cones. and grok 5 is huuuuuge
@ArtificialAnlys ยท
xAI has released Grok 4.20 for API access in beta, and it scores 48 on the Artificial Analysis Intelligence Index with reasoning enabled Compared to @xAIโs previous Grok 4 flagship, Grok 4.20 Beta 0309 is an intelligence upgrade, achieving +6 points on the Intelligence Index. It launches with a longer 2M token context window (up from Grok 4โs 256K context window, matching Grok 4.1 Fastโs 2M), and significantly lower pricing ($2/$6 vs Grok 4โs $3/$15). Grok 4.20โs performance lags behind the current intelligence frontier, but it performs strongly on instruction following and features a notably low hallucination rate, beating all other models weโve tested on AA-Omniscience for hallucination. xAI released 3 variants: reasoning, non-reasoning, and multi-agent. Weโve evaluated the reasoning and non-reasoning modes, and are considering the best approach for testing the new multi-agent functionality, which parallelizes over multiple agents behind the scenes in one API call. Key takeaways: โค Improved intelligence over Grok 4: Grok 4.20 Beta 0309 (Reasoning) scores 48 on the Artificial Analysis Intelligence Index, +6 from Grok 4 and +9 compared to Grok 4.1 Fast. This score falls short of the current intelligence frontier at 57 (Gemini 3.1 Pro Preview and GPT-5.4) โค Low price for the level of intelligence: Grok 4.20 is priced at $2/$6 per 1M input/output tokens, representing a decrease compared with Grok 4โs $3/$15 API rates. The reasoning variant cost $484 to complete the evaluations in the Artificial Analysis Intelligence Index, which is a reduction of ~70% compared to Grok 4, driven by lower pricing and lower token use โค Leading non-hallucination rate: Grok 4.20 scores 78% in the AA-Omniscience non-hallucination metric. This is the best result we have seen yet for this metric, and reflects the model only answering around one fifth of the time when it did not know the answer โค Fast inference performance: xAI is serving Grok 4.20 at 267 tokens per second - similar to what we see for gpt-oss-120b across providers and on the Pareto frontier for speed versus intelligence โค Mixed improvements in tool use: Grok 4.20 improved on the tool calling performance of Grok 4 in some evaluations, scoring 97% on Tau2-Telecom. However, its score of 1,062 on GDPval-AA, our benchmark of general agent performance on real work tasks, is well behind frontier peers and sits approximately in line with Grok 4.1 Fast

@farzyness ยท
I think AI has just hit a gigantic threshold, and Grok 4.5 is the PERFECT example as to why that is. One of the hardest parts of working with AI is iterating on a project or task that you're working on. As the models have gotten smarter (and more expensive), it's taking longer and longer to get an answer or action back. This creates a ton of stall time per query or action, which is actually quite bad for creativity and staying in a state of flow. You have SO many extended starts and stops. Which inevitably leads to your brain going somewhere else. And then when the AI comes back, you have to redirect your brain to that original task, spool your brain back up to what you were working on at that moment, and then adjust as needed. There's a ton of mental friction involved. This ESPECIALLY sucks when the AI takes a REALLY long time to get something back for you, but it's not quite what you were looking for or asked for. And what sucks EVEN MORE is that these "mistakes" are getting MORE expensive!!! So wait time is going up. AND it costs more per run. HOWEVER - even after using Grok 4.5 for about an hour - what's become obvious is that it's SO MUCH MORE ENJOYABLE AND BETTER to use a model that is FAST... and capable ENOUGH. Capable ENOUGH is the real unlock here. Imagine having Fable 5 performance but at the speed of Gemini 3.5 flash. Or Haiku. That's where we're inevitably going. I think Grok 4.5 (and models like it) have really solved for one of the biggest unlocks in AI - a model that will get you a GOOD ENOUGH answer VERY FAST, at which point iteration can happen VERY QUICKLY. This - counter intuitively - keeps the user in a state of flow and creativity for MUCH longer because you are constantly ENGAGED with your project... instead of letting the AI loose for a long time. And as long as humans are involved, I think 'not quite right' will be a FOREVER problem with AI - because AIs, by default, CANNOT have human taste. Because they are NOT human. But they can be UNBELIEVABLE tools. And unbelievable tools are the ones that are VERY GOOD and VERY FAST. I think that's the true unlock with Grok 4.5 and models like it. Difficult to describe until you experience it. I think this is a VERY big deal for @spacexai and @elonmusk.
@mark_k ยท
Grok has a new feature that nobody is talking about, and it's the only AI model that can currently do this! For explaining complex topics Grok can add images and infographics directly embedded in the result, almost like a Wikipedia (or Grokipedia) page! Super useful! ๐ซถ @xai

@ai_for_success ยท
How I Use Grok Bot to run my new AI Compass newsletter website. I love Grok Bot it is extremely powerful and with X integration it can pull news and details directly. This is one of my use cases for Grok Bot. The diagram shows the complete flow, so here is a quick breakdown of how each part works and where I stay involved. 1. Compass_Scout Always On X News Gathering to Notion - News gathering from X always happens through Grok Bot. Even if I hit my Grok bot weekly plan limit, I increase on demand spending so Compass_Scout never stops. - It runs at 11 PM, 3 AM and 8 AM IST, monitoring 55 watchlist accounts through 10 grouped queries alongside X discovery searches. - It verifies primary sources, separates confirmed news from trending but unverified stories, removes duplicates and saves everything to the day's Notion Date Page. 2. Compass_Editor Morning Curation and Approval - In the morning, I auto triggers at 8:30 AM IST. - It runs a completeness check to catch anything missed overnight, ranks the top stories and creates an Edition Draft in Notion. - It then stops and waits for me. I review the stories, add my own takes and explicitly reply "approve". Nothing moves forward without my approval. 3. AIFS_Ops and AIFS_Dev with Cursor Cloud Agent - When I say "publish yesterday's edition", AIFS_Ops verifies that the Notion page is marked Approved and hands the brief to AIFS_Dev. - AIFS_Dev launches a Cursor Cloud Agent on my GitHub repository. - The agent researches official blogs, documentation and papers, retrieves official launch images, writes website articles, opens a GitHub PR and generates a Vercel preview. - I review the PR, preview and sources report. If changes are needed, I ask the same agent to make them. - Only when I explicitly say "publish" does the agent merge the PR and take the changes live. 4. Local Fallback with Google Antigravity on Mac - When I hit Cursor Cloud Agent limits, Compass_Scout continues gathering X news and saving it to Notion. - I stop the remaining cloud workflow at that point and switch to Google Antigravity running locally on my Mac. - Antigravity pulls the gathered news from Notion, handles the editor and developer workflow locally, and builds the website. - I review and approve the changes before pushing the code to publish the live site.

@FGLXLucas ยท
xAIโs Grok Limits: Transparency Deficit and Strategic Risk in a Brutal AI Market In recent months, xAI has repeatedly adjusted SuperGrok usage conditions without clear communication. Instead of fixed, contractually guaranteed render and usage capacities, there is now a dynamic weekly shared budget that is quickly exhausted, especially for compute-intensive features like Grok Imagine (images and videos). Users like Luc report that even with efficient usage (e.g., one 30-second film plus two 10-second clips per day), the budget has become noticeably tighter โ a development many perceive as yet another 50-70% reduction. The problem goes far beyond casual users. Developers using Grok for complex programming, agent workflows, or long-running analyses are equally affected, as are creators who generate income with the outputs. This becomes particularly critical for future applications such as robotics (Optimus) and mobile AI, where reliable compute planning is essential. Anyone who builds their workflow or even their business model on Grok risks sudden restrictions or hidden upsells (Heavy tier, extra credits). For xAI, this is a risky game. In an extremely competitive AI market where OpenAI, Anthropic, Google, and specialized providers are fighting for developers and companies, trust and predictability are key differentiators. Frequent, opaque limit adjustments create exactly the kind of dependency that can later lead to higher prices or churn. Many professional users are already consciously diversifying and using Grok only for quick tests, while relying on more transparent alternatives for productive work. Conclusion xAI has excited many users with Grok and SuperGrok โ but the current limit policy undermines precisely the trust needed for long-term success in the AI industry. For users, this means: diversification and critical review of dependencies are advisable. For xAI: greater transparency and reliable capacities would be a clear competitive advantage rather than a risk. #Grok #SuperGrok #xAI #GrokLimits #AILimits #AITransparency #xAICriticism #GrokImagine #AI #ArtificialIntelligence #TechBusiness #xAIRisks
@Angaisb_ ยท
xAI introduces Grok 4.5, trained alongside Cursor and focused on coding, agentic tasks and office work - 80 tps, faster than flash models according to xAI - 4.2x fewer output tokens than Opus 4.8 on SWE Bench Pro - $2 / $6 per million tokens - 83.3% on Terminal Bench, basically tied with GPT-5.5 and close to Fable - 64.7% on SWE Bench Pro, above GPT-5.5 but far from Fable's 80.4% Available in Grok Build, Cursor and the API. Not in the EU yet, expected mid July

@mercor ยท
Grok 4.5 from @spacexai places #2 on the APEX-SWE leaderboard at 51.2% Pass@1 (ยฑ6.0), behind Fable 5 (65.5% ยฑ6.2) on our benchmark for real-world software engineering work. It leads Integration (65.0% Pass@1) and places #2 in Observability (37.3% Pass@1), covering multi-step build tasks and diagnosis/debugging respectively. The Integration lead maps directly to the agentic workflows Grok 4.5 was built for: multi-step coding tasks run in collaboration with Cursor. Grok models have improved 30.2 pp in a year on this benchmark: Grok 4 (21.0% Pass@1) to Grok 4.5 (51.2% Pass@1). Congratulations to the xAI and Cursor teams.

@aiedge_ ยท
Grok Bot was recently launched, and it might just be the best AI tool ever released by xAI. If you still haven't set it up yet, you'll want to bookmark this. How to launch your own team of Grok bot agents: Step 1. Get access Currently early beta on SuperGrok Heavy, Cursor Ultra, or Cursor Teams Premium, starting around $120/month. Available now on macOS and iOS, with Windows and Linux desktop apps also live. Step 2. Create your first bot Each bot gets its own cloud computer and can sign into whatever apps or websites you need, even ones with no API. Message it in plain language like you would a real employee. Step 3. Give it a real task, not just a question Don't ask it to explain something. Delegate an actual outcome: "research competitors in X space, pull pricing from their sites, and summarize into a report." It signs in, does the work across apps, and only comes back when it's done or needs your approval. Step 4. Create specialized bots for different roles This is where it gets powerful. Instead of one bot doing everything, spin up separate bots for separate functions, a researcher, a writer, an ops manager. Each one stays focused on its lane. Step 5. Add a coordinator bot Create a "Chief of Staff" style bot whose only job is managing the other bots. It assigns work, checks progress, and pulls you in only when a real decision is needed. Step 6. Let them communicate directly Bots can join a shared chat and pass work between each other, real coordination, not just parallel tasks running in isolation. Step 7. Teach a workflow once, reuse it forever Demonstrate a process while a bot follows along, and it saves that as a routine it can run again without you re-explaining every step. The end result: an entire team of specialized AI agents, working across your actual tools, coordinating with each other, checking in only when it matters. Set this up once. It runs indefinitely.

@Scobleizer ยท
I've been GrokBot pilled. First of all, Grok knows me better than other bots, like Meta Muse, thanks to the 300,000 posts I've done here for 20 years. But now that GrokBot @bot can read lists, it opens up powerful new personalized news capabilities. I've done this for about a year over on https://t.co/zleMXMaSi9 -- but last month my X API bill alone was $6,000. For a couple of hundred a month you can do the same with lists, either you create, or ones other people have created. Last night I stuck in my "best in AI" list and had it write me this news page: https://t.co/RpQ0pJhi65 Every hour my bot reads that list and builds me a new news page. Now I've only put about 10 minutes of effort into this so far. So it's not the prettiest thing you ever have seen, but my bots are working on other ways to present them to me. And you can do the same for any topic you care about. You just need to build a list, or find one that's already built and there are millions of lists here on X on literally any topic. Put your favorite football team onto a list, along with all your favorite journalists or other fans. Then have Grok bot read them for you. And that's just the start. You can have it write you a script based on the news, then copy that into, say, @Gemini_Notebook and then you get a podcast, or a video. Based on what people are saying on your topic here on X. Thank you so much X for making lists far more powerful than they ever were before. Makes the thousands of hours I've put into mine over 20 years so much more useful. Tips? Start small. You can chew through your tokens very quickly. It's amazing how good it is with a small list, like this one, which is what created the page up above: https://t.co/qyxF8in0sP (Best AI accounts I've found out of 70,000 here on X). Don't over hit it. You only need your bot to read the list every hour. Maybe even less. If anything is really important it gets reshared into lists, so the bot doesn't need to hit it often to build you a really great set of things that are important to pay attention to. I've been begging for this capability for years. THANK YOU X!
@invideoOfficial ยท
Grok Imagine, the AI video model that doesn't want to be real. Since @grok launched its video capabilities, the discourse has been almost entirely content moderation - what will and won't generate. Spicy mode, regulatory investigations, the EUs reaction. It's loud, it's dramatic. And it's completely missing the point. Because buried underneath all of that noise is something genuinely fascinating for filmmakers and visual creators. Grok Imagine video is the only major AI video model that was built to honor imagination over physics. See how it performs in 6 styles versus other models along with detailed prompts ๐งต๐
@LiorOnAI ยท
Grok 4.5 may have just produced original mathematical research. A mathematician gave it an open research problem that had remained unresolved for years. Instead of explaining existing work, Grok constructed an explicit counterexample. If the proof checks out, that counterexample settles the question. The problem was about hypercontractivity, a fundamental property used throughout harmonic analysis, probability, and partial differential equations. Researchers already knew the property held in dimensions up to 3 and failed by dimension 13. The missing piece was where the transition actually happened. Grok's counterexample shows the first failure already occurs in dimension 4, making the previous result sharp. If independent verification confirms the proof, this won't just be another example of AI helping with research. It will be an example of an AI contributing a new mathematical discovery.

@Axel_bitblaze69 ยท
Grok 4.5 has been out for around 2 weeks, and after using it as my main model for work, hereโs the easiest way to understand where it actually fits. yeah if you compare it to Fable 5.. Grok 4.5 is not as smart as it on every task. but iโd say It is probably the best default for most tasks. Even Elonโs positioning is basically this: Fable 5 is still better when the problem is genuinely difficult, but most daily work does not need that level of capability. And after using Grok 4.5, I think that is exactly the point. On Artificial Analysisโ coding-agent tests, Grok 4.5 performs in the same range as GPT-5.5 and below Fable 5 overall. On Terminal-Bench, it scored 83.3% versus 84.3% for Fable and 83.4% for GPT-5.5. So the quality gap is already quite small on practical agentic work. But the cost gap is not small. Average coding-agent task cost: Grok 4.5: $2.49 GPT-5.5: $5.07 Fable 5: $11.80 It also used roughly 1.9M tokens per task, compared with 6.2M for GPT-5.5 and 7.2M for Fable. So you are getting near-frontier performance at roughly one-fifth of Fableโs task cost. That changes how you use it. With an expensive model, you save it for important prompts. With Grok 4.5, you can leave the agent running. Let it inspect the project, search documentation, edit files, run commands, write tests, fix errors and keep iterating without worrying that every loop is burning another $10. This is where I would use it: โ day-to-day coding and debugging โ terminal tasks and long agent loops โ building and testing fast โ browser and workflow automation โ research that needs live web or X context โ repetitive work where the agent needs to keep trying โ scripts and tasks you want running in the background For the hardest architecture decisions, complex reasoning or a painful large-codebase refactor where the last few percentage points of quality matter more than cost, I would still reach for Fable 5. That is not a weakness. It is just knowing which tool fits the job. Another thing I like is how quickly the product around the model is improving. Grok Build has been shipping versioned updates frequently, with actual public changelogs instead of vague โperformance improvements.โ One correction worth making: Grok 4.5 itself is not open source. Grok Build, the terminal agent that runs it, was open-sourced on July 15. You can inspect and modify the harness, use skills, plugins, hooks, MCPs and subagents, or point it toward your own local model. My takeaway after daily-driving it: Stop asking which model is the smartest. Ask which model is capable enough, fast enough and cheap enough to stay inside your workflow all day. For the hardest 5% of tasks, use the strongest model available. For the other 95%, Grok 4.5 is starting to look like one of the best defaults. You can try it through Grok Build with one command: curl -fsSL https://t.co/7z5ptv2drv | bash
@itsolelehmann ยท
one of the highest impact AI uses cases for me is to use Grok to explain tweets to me sounds stupid simple, but it's highly effective I'm non-technical, so I use it quiet a lot so ELI5 ideas and concepts to me you either chose AI to learn everything or nothing, chose wisely
@VadimStrizheus ยท
EVERYONE IS MISSING THE IMPORTANT PART OF ELONโS GROK UPDATE. It is not just โGrok got bigger.โ The real story is that Elon said a lot of Cursor data was added into Grok V9โs supplementary training. That matters way more than people think. Grokโs original unfair advantage was real-time X data. When xAI launched Grok, the whole pitch was simple: Most chatbots understand the internetโs past. Grok understands what is happening right now. That was the first data edge. Now Elon is pointing Grok at the next one: how builders actually write software. Cursor did not win because it was โanother AI coding tool.โ Cursor won because it moved AI from the chat window into the repo. It watched developers work inside real projects. Prompts. Files. Bugs. Refactors. Context. Bad outputs. Good outputs. Accepted changes. Rejected changes. Shipping decisions. That is the difference between training an AI to answer coding questions and training an AI to behave like an engineer. In this clip, Elon explains the actual AI race: compute, rate of improvement, talent, and unique data. That is the whole game. Now look at the pieces: xAI has the compute. Grok has live X data. V9-Medium is a jump from the smaller model serving Grok today. And now Cursor workflow data is being added for difficult coding tasks. This is not Grok trying to become another chatbot. This is Grok trying to become the AI engineer inside X. The next AI war is not who writes the prettiest answer. It is who can understand the repo, reason through the task, write the code, test it, fix it, and ship. That is why the Cursor line matters. That was not a random detail. That was the signal.
@KettlebellDan ยท
grok is remarkably good at synthesizing comments on a post which is extremely useful for prioritizing when you get hundreds of replies

@VaibhavSisinty ยท
Xai shipped 13 versions of grok build in the last 12 days. nobody is shipping AI coding tools at this pace. Here's what's now sitting inside Xai โ โ a real command surface. /usage to see your token spend in any session, /login to reauth without leaving the terminal, /export to save the full conversation, /rewind to roll back a turn, /config-agents to manage your subagents from a modal. โ plan mode and /execute-plan, so grok can break a big task into a structured step-by-step plan and actually run it. now with git and gt support built in. โ subagents that share the same terminal backend, scheduler, and monitor across sessions. you can pause a multi-agent task, walk away, come back, and resume with the full UI and history replayed. โ X search and a much faster web search wired straight into the terminal. grok can pull live context from https://t.co/VR4iwFS7OW without you alt-tabbing once. โ proper image understanding. images now flow as multimodal vision tokens instead of base64 dumps. you can paste or drop multiple at once, and read_file extracts text from powerpoint files too. โ video generation with user-set duration. and the terminal itself now plays back media at 30fps. โ an "always-approve" mode for runs where you want grok to stop asking permission and just ship. literally called "yes, and don't ask again for anything." โ plugins, MCP servers, and hooks all managed from one picker modal. an actual extension surface, not a feature list. And somewhere in the middle of those 13 versions, they shipped a feature called "laziness detector." Yes that's the actual name. it nudges grok when the model starts skipping steps. Most companies ship a product. xai is shipping a release schedule.

@VaibhavSisinty ยท
xAI just opened Grok Build up to all SuperGrok subscribers. If you have SuperGrok you can now install xAI's terminal coding agent and start building with it tonight. What you get: โ Eight subagents working in parallel on the same task. Most CLIs run one at a time. โ A 2 million token context window. Bigger than Claude Code and Codex CLI right now. โ Plan mode that lets you approve the agent's steps before any code runs. Install in one line:curl -fsSL https://t.co/uDikeOJqrU | bash The barrier to using xAI's coding agent just dropped 10x. Worth testing this weekend.
@hooeem ยท
You pay X every month. The best worker you own is sitting in that subscription, and you use it to summarise X posts or argue with strangers. On 8 July, xAI shipped Grok 4.5. Built for coding, agentic work and knowledge tasks, co-trained with Cursor. Most people read the announcement, thought โanother modelโ, and changed nothing. The people who did change something are have gained a co-founder at no extra cost. Theyโre working at a different resolution to you. Theyโre model agnostic. ๐๐ก๐ฒ ๐ฎ๐ฌ๐ ๐๐ซ๐จ๐ค ๐๐ฌ ๐ฒ๐จ๐ฎ๐ซ ๐๐จ-๐๐จ๐ฎ๐ง๐๐๐ซ: $2 per million input tokens. $6 per million output. Roughly a fifth of Opus 4.8 or Fable 5. 80 tokens per second. Multi-step work lands about twice as fast end to end. Half the steps to the same answer. On SWE Bench Pro, xAI clocks 4.2x fewer output tokens than Opus 4.8 max. Fourth on the intelligence index. Not first. First place wins the hardest single problem on earth. You do not have that problem. You have four hundred small ones and no time. When looking at the long-horizon agentic benchmark, it beats both Opus 4.8 and Fable 5. What does that mean? It holds a plan across dozens of steps without drifting. It finishes so fast you run ten times more jobs than you planned. Token budgets die overnight. Fucking W. If you want to learn how to use it and what tools to use it with read this: ๐


@LaceyPresley ยท
The distance between todayโs AI and truly useful civilizational intelligence is no longer a matter of speculation. It is being compressed in public, at speed, by xAI. โข Grok 4.5 launched as xAIโs strongest model to date, purpose-built for coding, agentic tasks, and professional knowledge work โข Trained at large scale with heavy emphasis on curated engineering data and reinforced on multi-step real-world software tasks, developed in collaboration with Cursor โข Places on the Pareto frontier for intelligence versus cost and speed alongside only the strongest competing systems โข Achieves the highest perfect-extraction rate among tested models on large-scale real-world invoice processing (150,000+ business bills) โข Serves at 80 tokens per second while using substantially fewer output tokens than leading competitors on equivalent engineering benchmarks โข Rolled out across https://t.co/lGcC28UTvr, X, iOS, and Android within days of release, with expanded autonomous workflow capabilities in Grok Build โข Grok 4.6 targeted for release in approximately two weeks and Grok 4.7 in four weeks, maintaining an unusually rapid iteration cadence This is the systematic conversion of compute, data discipline, and engineering focus into deployable intelligence that raises the floor of what individuals and organizations can accomplish.


@QuotableCrypto ยท
โด๏ธ The @QuotableCrypto rebrand and thoughts on breaking X stagnation... If you're already here but feel stuck because of the brutal X algo "recommendation system" (yeah, the positive name doesn't always match the reality)... Consider this with me: Grok has become my go-to for growth strategies on X.*** It has extremely deep real-time integration with the platform - it sees trends, algo shifts, and public post patterns in ways most outsiders can't. It's native to the app. โด๏ธ Grok gets to know your X habits, both the good and the ones holding you back... It understands the platform's ever-changing red flags better than anything else I've tried. I sat down with Grok and built a fixed, low-volume plan tailored exactly to @QuotableCrypto - my size, my follower base, my style. It's literally reversing a full year of stagnation after all the endless algo changes. How? โด๏ธ It helped me create a daily rhythm: specific posting windows, reply schedules, exact amounts per day, content guidance based on what actually performed for me before - all customized, nothing generic... One-size-fits-all "growth" plans from CT rarely stick anymore. YOUR VIBE IS ALREADY ESTABLISHED HERE. The smarter move is doubling down on what works for *you* and fixing what doesn't, using your own performance data. Other AIs are solid as supplements, but for deep X-specific strategy, Grok has felt unbeatable in my experience. All thoughts, experiences, or different approaches are genuinely welcome in the comments - I know I'm not the only one who's been grinding through this... โด๏ธ Blessings...๐๐ป๐ช๐ปQC ***This is NOT a paid endorsement or affiliation in ANY way. Just sharing something that's made a real personal difference after a year of absolute frustration - I used to post 15โ20 quotes a day, shining the spotlight on this great community. What once drove growth became a massive red flag in the new landscape....

@varun_mathur ยท
tl;dr: Grok Code Fast is the best agentic coding model across all dimensions in my testing. @xAI really cooked ๐ฅ Used my Hyperspace Agentic-OS setup to run a test between Grok Code Fast, Claude Opus 4.1, GPT-OSS-120B and Qwen3-Coder-480B on the following three challenges: 1. Binary Search Tree Implementation (C++ code generation) 2. PageRank Algorithm Implementation (Complex algorithm coding) 3. Bitcoin Core Analysis (Technical architecture understanding) See code generation, speed, cost analysis and other results..
@lemire ยท
I wanted to share my experience with Grok Build, xAIโs competitor to Claude Code. I should note upfront that I have considerable experience coding with AI, whatever that means in 2026. The Grok Build console interface appeals to me. It has a somewhat more serious appearance than Claude Code and feels less distracting. By default, it launches in full-screen mode, which gives it a cleaner look, though I recognize this is not a critical factor. What about the coding itself? So far, I have tested it on two different toy projects, plus one evolving real-world implementation. The first was a remake of an old game in modern C++. The project remains incomplete. As the first one I attempted, Grok Build handled it reasonably well at the start, but it eventually became confused by repeated edits to the same file. This occurred during the early days of Grok Build, so I am unsure how representative those issues were. I have continued working on it since then, and Grok Build has performed well. I later realized that the project was too ambitious for a simple test; building something that resembles a playable game simply takes a considerable amount of time. I have since moved on to a web application that serves as a dashboard for my schoolโs statistical data. It performed superbly, Grok Build handled it like a champ. I do not believe Claude Code would have done any better. It is going to take me some time making it really good, but Grok Build is doing very well. The terminology is confusing because it seems that Grok Build is also the name of a model that you can access through the xAI API. I have been working with it for an actual production application. I have designed a custom system that allows a professor to edit a course website using AI. I rely on Grok Build to modify the HTML, JavaScript, and CSS based on natural-language queries. The application works great, and I plan to share more details about it in the future. Exciting times.


@orcdev ยท
I tested Grok Build with @grok 4.3, and in just a couple of days the improvement is crazy inside my project where I already had skills and plugins set up for AI agents, I gave it a single prompt and it returned a completely new page with the exact UI from my skills system, plus filters, sorting, featured sections, navbar updates, and multiple extra improvements I never even asked for what will happen when they drop Cursor data + Grok? check out the video ๐
@panditdhamdhere ยท
Grok Build in Rust ๐ฆ Grok Build is @SpaceXAI 's terminal-based AI coding agent. It runs as a full-screen TUI that understands your codebase, edits files, executes shell commands, searches the web, and manages long-running tasks interactively, headlessly for scripting/CI, or embedded in editors via the Agent Client Protocol (ACP). https://t.co/UpLPXczvJw
@sam_kececi ยท
grok 4.5 is pretty good for coding. cheap + fast. an underrated aspect of grok is that it is divergent in tone/style from the other big 3 โ especially the UI/UX it creates. the telltale tropes of AI โ gradients, button shadow, etc โ aren't the same for grok. it's refreshing! GPT / Gemini / Claude all converge. maybe reflective of the politics of their creators?
@sachinrekhi ยท
Actually finding myself using Grok more lately for one specific use case: when I want to mine insights based on recent X posts, it does a fantastic job curating popular and relevant posts and summarizing them. Great for staying on top of everything that's happening in AI.
Best Grok tweets
Xholic studies what works in your niche, drafts posts in your voice and schedules them for the hours your audience is online.
No card needed ยท Nothing to cancel
Browse all tweet collectionsLive demo: no sign-up or login needed ยท takes about 2 minutes
Keep exploring