{ "@context": "https://schema.org", "@id": "https://aggr.aymericbeaumet.com/items/x-ai/2025-07-09-grok-4/#webpage", "@type": [ "WebPage", "ArchiveComponent" ], "articleBody": "*[Open original]()*\n\n## [Scaling Up Reinforcement Learning](https://x.ai/news/grok-4#scaling-up-reinforcement-learning)\n\nWith Grok 3, we scaled next-token prediction pretraining to unprecedented levels, resulting in a model with unparalleled world knowledge and performance. We also introduced Grok 3 Reasoning, which was trained using reinforcement learning to think longer about problems and solve them with increased accuracy. During our work on Grok 3 Reasoning, we noticed scaling trends that suggested it would be possible to scale up our reinforcement learning training significantly.\n\nFor Grok 4, we utilized Colossus, our 200,000 GPU cluster, to run reinforcement learning training that refines Grok's reasoning abilities at pretraining scale. This was made possible with innovations throughout the stack, including new infrastructure and algorithmic work that increased the compute efficiency of our training by 6x, as well as a massive data collection effort, where we significantly expanded our verifiable training data from primarily math and coding data to many more domains. The resulting training run saw smooth performance gains while training on over an order of magnitude more compute than had been used previously.\n\n### Humanity's Last Exam\n\nDeep expert-level benchmark at the frontier of human knowledge\n\n### State of the art\n\nFull set (April 3, 2025) with Python and Internet tools\n\n## [Native Tool Use](https://x.ai/news/grok-4#native-tool-use)\n\nGrok 4 was trained with reinforcement learning to use tools. This allows Grok to augment its thinking with tools like a code interpreter and web browsing in situations that are usually challenging for large language models. When searching for real-time information or answering difficult research questions, Grok 4 chooses its own search queries, finding knowledge from across the web and diving as deeply as it needs to craft a high-quality response.\n\nWe also trained Grok to use powerful tools to find information from deep within X. Grok can use advanced keyword and semantic search tools and even view media to improve the quality of its answers.\n\nI remember this popular post from a few days ago about this crazy word puzzle which had something to do with legs. Can you help me find it?\n\nThought for 1 minute\n\nInvestigating puzzle post\n\n- The request is for a popular post from early July 2025 about a crazy word puzzle involving legs.\n- Let's try searching for relevant X posts from July 1 to July 9, 2025.\n- Maybe searching for 'viral word puzzle about legs' could help find recent posts.\n\nSearching for viral word puzzle about legs\n\nSearching for (word puzzle) legs min\\_faves:100 since:2025-07-01 until:2025-07-09 filter:has\\_engagement\n\n- Posts from the search show a puzzle about words ending with homophones for leg parts like toe, calf, knee, shin.\n- Many posts mention 'toe, calf, knee, shin' as the purple category in Connections puzzle #756.\n\nExploring puzzle details\n\n- Posts around July 7-8, 2025, suggest the viral post is about the NYT Connections puzzle's absurd category.\n- Let's search for 'NYT Connections puzzle #756 answers'.\n\nSearching for NYT Connections puzzle #756 answers\n\n- For July 6, 2025, puzzle #756's purple category was words ending with homophones of leg parts.\n- The 'crazy' part is the stretch, like 'shun' sounding like 'shin' in some accents.\n\nSearching for connections (toe calf knee shin) since:2025-07-06 until:2025-07-09 min\\_faves:100\n\nSearching for nyt connections crazy leg puzzle homophones\n\n- A post with 660 likes mentions 'toe calf knee shin they're homophones,' which could be the popular one.\n- Now, let's search X for posts with 'homophones' and 'parts of the leg' from July 6 to 9, 2025, requiring at least 100 favorites.\n\nSearching for homophones \"parts of the leg\" since:2025-07-06 until:2025-07-09 min\\_faves:100\n\nSearching for connections legs OR leg since:2025-07-06 until:2025-07-09 min\\_faves:500\n\nAnalyzing search results\n\n- A new search found a reply post with 5052 likes, quoting a meme about the puzzle's absurdity.\n- Another search revealed a post with 89123 likes, likely the viral one, quoting a complaint about the puzzle.\n\nBased on your description, it sounds like you're referring to a viral X post from July7, 2025, complaining about a particularly frustrating category in the New York Times' daily Connections word puzzle (game #756). The puzzle involves grouping 16 words intofour themed categories, and one of them—the purple (hardest) group—was \"ending withhomophones for parts of the leg.\" The words were crypto (sounds like it ends with\"toe\"), decaf (ends with \"calf\"), Disney (ends with \"knee\"), and Prussian (ends with\"shin\"). This stretched connection sparked a lot of outrage and memes online for being overly obscure and accent-dependent.\n\nThe specific popular post you might be thinking of shows a screenshot of the puzzle gridwith the caption \"This game is a psyop to give me schizophrenia.\" It was posted by @LinkofSunshine and quickly went viral, racking up over 21,000 likes and hundreds of replies, quotes, and reposts within days. Many people in the replies echoed thefrustration, calling the leg-related category \"ridiculous\" or \"impossible withoutguessing.\"\n\nIf this isn't the exact one you meant, let me know more details (like the username or exact phrasing), and I can dig deeper!\n\n## [Grok 4 Heavy](https://x.ai/news/grok-4#grok-4-heavy)\n\nWe have made further progress on parallel test-time compute, which allows Grok to consider multiple hypotheses at once. We call this model Grok 4 Heavy, and it sets a new standard for performance and reliability. Grok 4 Heavy saturates most academic benchmarks and is the first model to score 50% on Humanity's Last Exam, a benchmark \"designed to be the final closed-ended academic benchmark of its kind.\"\n\nGrok 4 Heavy\n\nProcessing\n\n\\~ 10 min left\n\nAgent 1\n\n\\~ 10 min left\n\nAgent 2\n\n\\~ 10 min left\n\nAgent 3\n\n\\~ 10 min left\n\nThought for 10 minutes\n\n## [Frontier Intelligence](https://x.ai/news/grok-4#frontier-intelligence)\n\nGrok 4 represents a leap in frontier intelligence, setting a new state-of-the-art for closed models on ARC-AGI V2 with 15.9% (nearly double Opus's ~8.6%, +8pp over previous high). On the agentic Vending-Bench, it dominates with $4694.15 net worth and 4569 units sold (averages across 5 runs), vastly outpacing Claude Opus 4 ($2077.41, 1412 units), humans ($844.05, 344 units), and others. Grok 4 Heavy leads USAMO'25 with 61.9%, and is the first to score 50.7% on Humanity's Last Exam (text-only subset), demonstrating unparalleled capabilities in complex reasoning through scaled reinforcement learning and native tool use.\n\n### GPQA\n\nScience\n\n### LiveCodeBench (Jan - May)\n\nCompetitive Coding\n\n### USAMO 2025\n\nOlympiad Math Proofs\n\n### HMMT 2025\n\nCompetitive Math\n\n### AIME’25\n\nCompetition Math\n\n### ARC-AGI-2\n\nAbstraction and Reasoning\n\n## [Grok 4 API](https://x.ai/news/grok-4#grok-4-api)\n\nThe Grok 4 API empowers developers with frontier-level multimodal understanding, a 256,000 context window, and advanced reasoning capabilities to tackle complex tasks across text and vision. It integrates real-time data search across X, the web, and various news sources via our newly launched live search API, enabling up-to-date, accurate responses powered by native tool use. With enterprise-grade security and compliance—including SOC 2 Type 2, GDPR, and CCPA certifications—the API ensures robust protection for sensitive applications. Grok 4 is coming soon to our hyperscaler partners, making it easier for enterprises to deploy at scale for innovative AI solutions.\n\n## [Grok 4 Voice Mode](https://x.ai/news/grok-4#grok-4-voice-mode)\n\nSpeak with Grok in our upgraded Voice Mode, which features enhanced realism, responsiveness, and intelligence. We introduce a serene, brand-new voice and redesign conversations to make them even more natural.\n\nAnd now, Grok can see what you see! Point your camera, speak right away, and Grok pulls live insights, analyzing your scene and responding to you in real-time from within the voice chat experience. We are proud to present this model trained in-house, with our state-of-the-art reinforcement learning framework and speech compression techniques.\n\nEnable video during your voice chat and Grok will look at what it sees when talking to you.\n\n## [What’s Next](https://x.ai/news/grok-4#whats-next)\n\nxAI will continue scaling reinforcement learning to unprecedented levels, building on Grok 4's advancements to push the boundaries of artificial intelligence. We plan to expand the scope from verifiable rewards in controlled domains to tackling complex real-world problems, where models can learn and adapt in dynamic environments. Multimodal capabilities will see ongoing improvements, integrating vision, audio, and beyond for more intuitive interactions. Overall, our focus remains on making models smarter, faster, and more efficient, as we drive toward systems that truly understand and assist humanity in profound ways.\n", "authors": [], "captured_at": "2026-10-19T01:26:53.998049939+00:00", "category": "ai", "content_html": "

Open original

\n

Scaling Up Reinforcement Learning

\n

With Grok 3, we scaled next-token prediction pretraining to unprecedented levels, resulting in a model with unparalleled world knowledge and performance. We also introduced Grok 3 Reasoning, which was trained using reinforcement learning to think longer about problems and solve them with increased accuracy. During our work on Grok 3 Reasoning, we noticed scaling trends that suggested it would be possible to scale up our reinforcement learning training significantly.

\n

For Grok 4, we utilized Colossus, our 200,000 GPU cluster, to run reinforcement learning training that refines Grok's reasoning abilities at pretraining scale. This was made possible with innovations throughout the stack, including new infrastructure and algorithmic work that increased the compute efficiency of our training by 6x, as well as a massive data collection effort, where we significantly expanded our verifiable training data from primarily math and coding data to many more domains. The resulting training run saw smooth performance gains while training on over an order of magnitude more compute than had been used previously.

\n

Humanity's Last Exam

\n

Deep expert-level benchmark at the frontier of human knowledge

\n

State of the art

\n

Full set (April 3, 2025) with Python and Internet tools

\n

Native Tool Use

\n

Grok 4 was trained with reinforcement learning to use tools. This allows Grok to augment its thinking with tools like a code interpreter and web browsing in situations that are usually challenging for large language models. When searching for real-time information or answering difficult research questions, Grok 4 chooses its own search queries, finding knowledge from across the web and diving as deeply as it needs to craft a high-quality response.

\n

We also trained Grok to use powerful tools to find information from deep within X. Grok can use advanced keyword and semantic search tools and even view media to improve the quality of its answers.

\n

I remember this popular post from a few days ago about this crazy word puzzle which had something to do with legs. Can you help me find it?

\n

Thought for 1 minute

\n

Investigating puzzle post

\n\n

Searching for viral word puzzle about legs

\n

Searching for (word puzzle) legs min_faves:100 since:2025-07-01 until:2025-07-09 filter:has_engagement

\n\n

Exploring puzzle details

\n\n

Searching for NYT Connections puzzle #756 answers

\n\n

Searching for connections (toe calf knee shin) since:2025-07-06 until:2025-07-09 min_faves:100

\n

Searching for nyt connections crazy leg puzzle homophones

\n\n

Searching for homophones "parts of the leg" since:2025-07-06 until:2025-07-09 min_faves:100

\n

Searching for connections legs OR leg since:2025-07-06 until:2025-07-09 min_faves:500

\n

Analyzing search results

\n\n

Based on your description, it sounds like you're referring to a viral X post from July7, 2025, complaining about a particularly frustrating category in the New York Times' daily Connections word puzzle (game #756). The puzzle involves grouping 16 words intofour themed categories, and one of them—the purple (hardest) group—was "ending withhomophones for parts of the leg." The words were crypto (sounds like it ends with"toe"), decaf (ends with "calf"), Disney (ends with "knee"), and Prussian (ends with"shin"). This stretched connection sparked a lot of outrage and memes online for being overly obscure and accent-dependent.

\n

The specific popular post you might be thinking of shows a screenshot of the puzzle gridwith the caption "This game is a psyop to give me schizophrenia." It was posted by @LinkofSunshine and quickly went viral, racking up over 21,000 likes and hundreds of replies, quotes, and reposts within days. Many people in the replies echoed thefrustration, calling the leg-related category "ridiculous" or "impossible withoutguessing."

\n

If this isn't the exact one you meant, let me know more details (like the username or exact phrasing), and I can dig deeper!

\n

Grok 4 Heavy

\n

We have made further progress on parallel test-time compute, which allows Grok to consider multiple hypotheses at once. We call this model Grok 4 Heavy, and it sets a new standard for performance and reliability. Grok 4 Heavy saturates most academic benchmarks and is the first model to score 50% on Humanity's Last Exam, a benchmark "designed to be the final closed-ended academic benchmark of its kind."

\n

Grok 4 Heavy

\n

Processing

\n

~ 10 min left

\n

Agent 1

\n

~ 10 min left

\n

Agent 2

\n

~ 10 min left

\n

Agent 3

\n

~ 10 min left

\n

Thought for 10 minutes

\n

Frontier Intelligence

\n

Grok 4 represents a leap in frontier intelligence, setting a new state-of-the-art for closed models on ARC-AGI V2 with 15.9% (nearly double Opus's ~8.6%, +8pp over previous high). On the agentic Vending-Bench, it dominates with $4694.15 net worth and 4569 units sold (averages across 5 runs), vastly outpacing Claude Opus 4 ($2077.41, 1412 units), humans ($844.05, 344 units), and others. Grok 4 Heavy leads USAMO'25 with 61.9%, and is the first to score 50.7% on Humanity's Last Exam (text-only subset), demonstrating unparalleled capabilities in complex reasoning through scaled reinforcement learning and native tool use.

\n

GPQA

\n

Science

\n

LiveCodeBench (Jan - May)

\n

Competitive Coding

\n

USAMO 2025

\n

Olympiad Math Proofs

\n

HMMT 2025

\n

Competitive Math

\n

AIME’25

\n

Competition Math

\n

ARC-AGI-2

\n

Abstraction and Reasoning

\n

Grok 4 API

\n

The Grok 4 API empowers developers with frontier-level multimodal understanding, a 256,000 context window, and advanced reasoning capabilities to tackle complex tasks across text and vision. It integrates real-time data search across X, the web, and various news sources via our newly launched live search API, enabling up-to-date, accurate responses powered by native tool use. With enterprise-grade security and compliance—including SOC 2 Type 2, GDPR, and CCPA certifications—the API ensures robust protection for sensitive applications. Grok 4 is coming soon to our hyperscaler partners, making it easier for enterprises to deploy at scale for innovative AI solutions.

\n

Grok 4 Voice Mode

\n

Speak with Grok in our upgraded Voice Mode, which features enhanced realism, responsiveness, and intelligence. We introduce a serene, brand-new voice and redesign conversations to make them even more natural.

\n

And now, Grok can see what you see! Point your camera, speak right away, and Grok pulls live insights, analyzing your scene and responding to you in real-time from within the voice chat experience. We are proud to present this model trained in-house, with our state-of-the-art reinforcement learning framework and speech compression techniques.

\n

Enable video during your voice chat and Grok will look at what it sees when talking to you.

\n

What’s Next

\n

xAI will continue scaling reinforcement learning to unprecedented levels, building on Grok 4's advancements to push the boundaries of artificial intelligence. We plan to expand the scope from verifiable rewards in controlled domains to tackling complex real-world problems, where models can learn and adapt in dynamic environments. Multimodal capabilities will see ongoing improvements, integrating vision, audio, and beyond for more intuitive interactions. Overall, our focus remains on making models smarter, faster, and more efficient, as we drive toward systems that truly understand and assist humanity in profound ways.

\n", "content_markdown": "*[Open original]()*\n\n## [Scaling Up Reinforcement Learning](https://x.ai/news/grok-4#scaling-up-reinforcement-learning)\n\nWith Grok 3, we scaled next-token prediction pretraining to unprecedented levels, resulting in a model with unparalleled world knowledge and performance. We also introduced Grok 3 Reasoning, which was trained using reinforcement learning to think longer about problems and solve them with increased accuracy. During our work on Grok 3 Reasoning, we noticed scaling trends that suggested it would be possible to scale up our reinforcement learning training significantly.\n\nFor Grok 4, we utilized Colossus, our 200,000 GPU cluster, to run reinforcement learning training that refines Grok's reasoning abilities at pretraining scale. This was made possible with innovations throughout the stack, including new infrastructure and algorithmic work that increased the compute efficiency of our training by 6x, as well as a massive data collection effort, where we significantly expanded our verifiable training data from primarily math and coding data to many more domains. The resulting training run saw smooth performance gains while training on over an order of magnitude more compute than had been used previously.\n\n### Humanity's Last Exam\n\nDeep expert-level benchmark at the frontier of human knowledge\n\n### State of the art\n\nFull set (April 3, 2025) with Python and Internet tools\n\n## [Native Tool Use](https://x.ai/news/grok-4#native-tool-use)\n\nGrok 4 was trained with reinforcement learning to use tools. This allows Grok to augment its thinking with tools like a code interpreter and web browsing in situations that are usually challenging for large language models. When searching for real-time information or answering difficult research questions, Grok 4 chooses its own search queries, finding knowledge from across the web and diving as deeply as it needs to craft a high-quality response.\n\nWe also trained Grok to use powerful tools to find information from deep within X. Grok can use advanced keyword and semantic search tools and even view media to improve the quality of its answers.\n\nI remember this popular post from a few days ago about this crazy word puzzle which had something to do with legs. Can you help me find it?\n\nThought for 1 minute\n\nInvestigating puzzle post\n\n- The request is for a popular post from early July 2025 about a crazy word puzzle involving legs.\n- Let's try searching for relevant X posts from July 1 to July 9, 2025.\n- Maybe searching for 'viral word puzzle about legs' could help find recent posts.\n\nSearching for viral word puzzle about legs\n\nSearching for (word puzzle) legs min\\_faves:100 since:2025-07-01 until:2025-07-09 filter:has\\_engagement\n\n- Posts from the search show a puzzle about words ending with homophones for leg parts like toe, calf, knee, shin.\n- Many posts mention 'toe, calf, knee, shin' as the purple category in Connections puzzle #756.\n\nExploring puzzle details\n\n- Posts around July 7-8, 2025, suggest the viral post is about the NYT Connections puzzle's absurd category.\n- Let's search for 'NYT Connections puzzle #756 answers'.\n\nSearching for NYT Connections puzzle #756 answers\n\n- For July 6, 2025, puzzle #756's purple category was words ending with homophones of leg parts.\n- The 'crazy' part is the stretch, like 'shun' sounding like 'shin' in some accents.\n\nSearching for connections (toe calf knee shin) since:2025-07-06 until:2025-07-09 min\\_faves:100\n\nSearching for nyt connections crazy leg puzzle homophones\n\n- A post with 660 likes mentions 'toe calf knee shin they're homophones,' which could be the popular one.\n- Now, let's search X for posts with 'homophones' and 'parts of the leg' from July 6 to 9, 2025, requiring at least 100 favorites.\n\nSearching for homophones \"parts of the leg\" since:2025-07-06 until:2025-07-09 min\\_faves:100\n\nSearching for connections legs OR leg since:2025-07-06 until:2025-07-09 min\\_faves:500\n\nAnalyzing search results\n\n- A new search found a reply post with 5052 likes, quoting a meme about the puzzle's absurdity.\n- Another search revealed a post with 89123 likes, likely the viral one, quoting a complaint about the puzzle.\n\nBased on your description, it sounds like you're referring to a viral X post from July7, 2025, complaining about a particularly frustrating category in the New York Times' daily Connections word puzzle (game #756). The puzzle involves grouping 16 words intofour themed categories, and one of them—the purple (hardest) group—was \"ending withhomophones for parts of the leg.\" The words were crypto (sounds like it ends with\"toe\"), decaf (ends with \"calf\"), Disney (ends with \"knee\"), and Prussian (ends with\"shin\"). This stretched connection sparked a lot of outrage and memes online for being overly obscure and accent-dependent.\n\nThe specific popular post you might be thinking of shows a screenshot of the puzzle gridwith the caption \"This game is a psyop to give me schizophrenia.\" It was posted by @LinkofSunshine and quickly went viral, racking up over 21,000 likes and hundreds of replies, quotes, and reposts within days. Many people in the replies echoed thefrustration, calling the leg-related category \"ridiculous\" or \"impossible withoutguessing.\"\n\nIf this isn't the exact one you meant, let me know more details (like the username or exact phrasing), and I can dig deeper!\n\n## [Grok 4 Heavy](https://x.ai/news/grok-4#grok-4-heavy)\n\nWe have made further progress on parallel test-time compute, which allows Grok to consider multiple hypotheses at once. We call this model Grok 4 Heavy, and it sets a new standard for performance and reliability. Grok 4 Heavy saturates most academic benchmarks and is the first model to score 50% on Humanity's Last Exam, a benchmark \"designed to be the final closed-ended academic benchmark of its kind.\"\n\nGrok 4 Heavy\n\nProcessing\n\n\\~ 10 min left\n\nAgent 1\n\n\\~ 10 min left\n\nAgent 2\n\n\\~ 10 min left\n\nAgent 3\n\n\\~ 10 min left\n\nThought for 10 minutes\n\n## [Frontier Intelligence](https://x.ai/news/grok-4#frontier-intelligence)\n\nGrok 4 represents a leap in frontier intelligence, setting a new state-of-the-art for closed models on ARC-AGI V2 with 15.9% (nearly double Opus's ~8.6%, +8pp over previous high). On the agentic Vending-Bench, it dominates with $4694.15 net worth and 4569 units sold (averages across 5 runs), vastly outpacing Claude Opus 4 ($2077.41, 1412 units), humans ($844.05, 344 units), and others. Grok 4 Heavy leads USAMO'25 with 61.9%, and is the first to score 50.7% on Humanity's Last Exam (text-only subset), demonstrating unparalleled capabilities in complex reasoning through scaled reinforcement learning and native tool use.\n\n### GPQA\n\nScience\n\n### LiveCodeBench (Jan - May)\n\nCompetitive Coding\n\n### USAMO 2025\n\nOlympiad Math Proofs\n\n### HMMT 2025\n\nCompetitive Math\n\n### AIME’25\n\nCompetition Math\n\n### ARC-AGI-2\n\nAbstraction and Reasoning\n\n## [Grok 4 API](https://x.ai/news/grok-4#grok-4-api)\n\nThe Grok 4 API empowers developers with frontier-level multimodal understanding, a 256,000 context window, and advanced reasoning capabilities to tackle complex tasks across text and vision. It integrates real-time data search across X, the web, and various news sources via our newly launched live search API, enabling up-to-date, accurate responses powered by native tool use. With enterprise-grade security and compliance—including SOC 2 Type 2, GDPR, and CCPA certifications—the API ensures robust protection for sensitive applications. Grok 4 is coming soon to our hyperscaler partners, making it easier for enterprises to deploy at scale for innovative AI solutions.\n\n## [Grok 4 Voice Mode](https://x.ai/news/grok-4#grok-4-voice-mode)\n\nSpeak with Grok in our upgraded Voice Mode, which features enhanced realism, responsiveness, and intelligence. We introduce a serene, brand-new voice and redesign conversations to make them even more natural.\n\nAnd now, Grok can see what you see! Point your camera, speak right away, and Grok pulls live insights, analyzing your scene and responding to you in real-time from within the voice chat experience. We are proud to present this model trained in-house, with our state-of-the-art reinforcement learning framework and speech compression techniques.\n\nEnable video during your voice chat and Grok will look at what it sees when talking to you.\n\n## [What’s Next](https://x.ai/news/grok-4#whats-next)\n\nxAI will continue scaling reinforcement learning to unprecedented levels, building on Grok 4's advancements to push the boundaries of artificial intelligence. We plan to expand the scope from verifiable rewards in controlled domains to tackling complex real-world problems, where models can learn and adapt in dynamic environments. Multimodal capabilities will see ongoing improvements, integrating vision, audio, and beyond for more intuitive interactions. Overall, our focus remains on making models smarter, faster, and more efficient, as we drive toward systems that truly understand and assist humanity in profound ways.\n", "dateCreated": "2026-10-19T01:26:53.998049939+00:00", "date_created": "2025-07-09T00:00:00+00:00", "date_modified": null, "date_published": "2025-07-09T00:00:00+00:00", "description": "Grok 4 is the most intelligent model in the world. It includes native tool use and real-time search integration, and is available now to SuperGrok and Premium+ subscribers, as well as through the xAI API. We are also introducing a new…", "external_url": "https://x.ai/news/grok-4", "git": { "commit": "ebb0941c5c06a2ab2377342d607535262a3e969e", "path": "items/x-ai/2025/07/2025-07-09-grok-4.md", "permalink": "https://github.com/aymericbeaumet/aggr-instance/blob/ebb0941c5c06a2ab2377342d607535262a3e969e/items/x-ai/2025/07/2025-07-09-grok-4.md" }, "id": "urn:aggr:item:da27a179f910f0d2a81d5ef03f085e95a1449a67", "isBasedOn": { "@id": "https://x.ai/news/grok-4" }, "mainEntity": { "@id": "https://x.ai/news/grok-4", "@type": "CreativeWork", "archivedAt": { "@id": "https://aggr.aymericbeaumet.com/items/x-ai/2025-07-09-grok-4/#webpage" }, "datePublished": "2025-07-09T00:00:00+00:00", "headline": "Grok 4", "image": { "@type": "ImageObject", "caption": null, "height": 90, "url": "https://media.x.ai/v1/website/grok-4-6bdb0520.webp", "width": 160 }, "timeRequired": "PT7M", "url": "https://x.ai/news/grok-4", "wordCount": 1379 }, "name": "Archived snapshot: Grok 4", "preview": { "alt": null, "color": null, "height": 90, "placeholder": { "data_url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=", "hash": "" }, "url": "https://media.x.ai/v1/website/grok-4-6bdb0520.webp", "width": 160 }, "reading_minutes": 7, "replicated_at": null, "source": "x-ai", "source_name": "News: Research, Product & Company Updates | SpaceXSI", "summary": "Grok 4 is the most intelligent model in the world. It includes native tool use and real-time search integration, and is available now to SuperGrok and Premium+ subscribers, as well as through the xAI API. We are also introducing a new SuperGrok Heavy tier with access to Grok 4 Heavy - the most powerful version of Grok 4.", "tags": [], "temporalCoverage": "2026-10-19T01:26:53.998049939+00:00", "title": "Grok 4", "url": "https://aggr.aymericbeaumet.com/items/x-ai/2025-07-09-grok-4/", "word_count": 1379 }