Update, August 13, 2026: Grok is now powered by Grok 4.6, released August 12, 2026. It is a post-training upgrade on the same foundation as Grok 4.5, at the same price, and it changes the head-to-head: Grok 4.6 now ties GPT-5.6 Sol on the Artificial Analysis Intelligence Index at 61, and the Terminal-Bench 2.1 gap has closed from 5.5 points to 0.4. The tables below reflect the new lineup.

ChatGPT now runs on GPT-5.6, whose flagship Sol tier started a broad public rollout on July 9, 2026 after two weeks behind a US-government access list, while Grok is powered by Grok 4.6 (released August 12, 2026), which extends xAI’s coding and agentic push with a further round of post-training. Both chatbots have evolved fast over the past year, and picking between them is no longer as simple as “ChatGPT is the default.” Grok has grown from 1.9% US market share to 17.8% in twelve months, while ChatGPT still dominates with over 900 million weekly active users. OpenAI shipped GPT-5.6 as a three-tier family, Sol (flagship), Terra (balanced), and Luna (fast and cheapest), after first launching June 26 to about 20 government-vetted organizations. Grok 4.6 keeps the 1.5-trillion-parameter V9 foundation introduced with Grok 4.5 and buys its gains through additional post-training rather than a new architecture, so the context window stays at 500k, still down from Grok 4.3’s 1 million tokens.

So which one should you actually use? We compared Grok vs ChatGPT across benchmarks, pricing, coding, writing, real-time capabilities, and more. Here is what the data shows, and clear recommendations based on what you need an AI chatbot for.

The Key Takeaways

  • The one shared benchmark is now effectively a tie: GPT-5.6 Sol posts 88.8% on Terminal-Bench 2.1 (91.9% in ultra mode) against Grok 4.6’s 88.4%, where Grok 4.5 had trailed at 83.3%
  • Grok 4.6 is far cheaper than the ChatGPT flagship, at $2 / $6 per million tokens against GPT-5.6 Sol’s $5 / $30, for the same measured intelligence, and it is dramatically more token-efficient per task. At the cheap end it is now the other way round: OpenAI cut Luna to $0.20 / $1.20 on July 30, 2026
  • ChatGPT Plus costs $20/month; SuperGrok costs $30/month, and both now include their newest flagship model
  • Grok wins for real-time data with native X/Twitter integration and live web search that no ChatGPT tier matches on the chat interface
  • Independent evaluator METR flagged record-high benchmark gaming in GPT-5.6 testing, so treat OpenAI’s headline scores with caution
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Grok vs ChatGPT: Quick Comparison

Before we get into the details, here is a side-by-side overview of where things stand right now.

Feature ChatGPT (GPT-5.6) Grok 4.6
Developer OpenAI xAI
Latest model GPT-5.6 (public July 9, 2026) Grok 4.6 (August 12, 2026)
Model lineup Three tiers: Sol, Terra, Luna Single model (grok-4.6), plus a Fast variant
Context window ~1,000,000 tokens 500,000 tokens
Free tier Yes (Terra in ChatGPT Work/Codex, no Sol) Yes (limited daily use, older models)
Paid plans Plus $20/mo (Sol), Pro $100/mo, Pro $200/mo SuperGrok $30/mo, X Premium+ $40/mo, Heavy $300/mo
API pricing (per 1M) Sol $5/$30, Terra $2/$12, Luna $0.20/$1.20 $2 input / $6 output
Terminal-Bench 2.1 (coding agents) 88.8% (91.9% ultra mode)* 88.4%
Intelligence Index (Artificial Analysis) 61 (Sol, max effort) 61 (Grok 4.6, high)
Token efficiency Standard Very high (~14k output tokens/task)
Real-time data Web browsing (manual) Native X + web search
Native file output Through Canvas / code interpreter PDF, PPTX, XLSX (Office add-ins)
Image generation GPT-Image Aurora
Video generation None (Sora app closed Apr 26, 2026) Grok Imagine
Computer use Yes (native) No
Integrations 500+ Limited
Weekly active users 900+ million 78+ million MAU

*OpenAI’s GPT-5.6 figures are company-reported and not yet independently audited. Independent evaluator METR flagged record-high benchmark gaming during testing, so treat the headline scores cautiously. xAI published coding-focused benchmarks for Grok 4.6 (Terminal-Bench, DeepSWE, FrontierCode) rather than the classic GPQA or AIME reasoning tests, so some cells carry the closest available reference. Terminal-Bench figures here are all v2.1; xAI also reports Grok 4.6 at 26% on the much harder v3.0, which is not comparable to the v2.1 numbers.

ChatGPT wins on ecosystem breadth and computer use. Grok 4.6 wins on price, token efficiency, and real-time data, and it adds native Office file output. The shared coding-agent benchmark, which was ChatGPT’s clearest win last generation, is now a statistical tie. The right choice depends on what you need most.

Grok vs ChatGPT vs Gemini: How Gemini Compares

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Plenty of buyers compare three models, not two, so here is where Google’s Gemini 3.1 Pro lands against both. On the independent Artificial Analysis Intelligence Index, Grok 4.6 scores 61 and outranks every Gemini model by a wide margin. Only Claude Opus 5 at 63 and Claude Fable 5 at 62 sit above it, and GPT-5.6 Sol ties it at 61. That said, Gemini’s real strengths are not raw reasoning scores.

Gemini’s edge is multimodality and Google integration. It accepts native video input, generates images with Nano Banana Pro and video with Veo 3.1, and grounds answers in live Google Search, which makes it the natural pick if you live inside Gmail, Docs, and Workspace. On price, Google AI Pro costs $19.99/month with a cheaper AI Plus tier at $4.99/month that undercuts ChatGPT Plus. For the full picture, see our ChatGPT vs Gemini comparison and Gemini 3.5 review.

Is Grok Better Than ChatGPT?

For most people, ChatGPT is still the better all-around chatbot, but the reasons have narrowed to product rather than raw capability. On the one benchmark both flagships report, Terminal-Bench 2.1, GPT-5.6 Sol’s 88.8% is now barely ahead of Grok 4.6’s 88.4%, and the two tie on the Artificial Analysis Intelligence Index at 61. What ChatGPT keeps is ecosystem size (500+ integrations), native computer use, which Grok lacks entirely, and ultra mode for the hardest coding sessions. If you want one tool for writing, coding, research, and everyday work, ChatGPT is the safer pick — but it is no longer the more capable model on the shared tests.

Grok 4.6 is the stronger pick when you need low cost, token efficiency, or real-time data. Its API runs at $2 input / $6 output per million tokens against GPT-5.6 Sol’s $5 / $30 — the same measured intelligence for a fraction of the money — and Artificial Analysis clocks it at $0.84 per task, finishing long agentic jobs in roughly 53 turns where Claude Opus 5 takes about 103. Grok’s native X and web access also pulls live information no version of ChatGPT can match on the chat interface, and Grok outputs finished PDF, PPTX, and XLSX files directly through its Office add-ins. Watch one thing on price: prompts of 200,000 tokens or more bill at double the rate across the entire request.

So the honest answer is that “better” depends on the job. Pick Grok for breaking news, social sentiment, cost-sensitive agentic work, and deliverable files. Pick ChatGPT for the hardest coding sessions, computer-use automation, and any workflow that leans on its larger ecosystem. If you want both without choosing, Fello AI runs ChatGPT, Grok, Claude, Gemini, and DeepSeek in one Mac app for $9.99/month.

Grok vs ChatGPT Benchmarks: What the Numbers Say

Benchmarks are not everything, but they give you a useful baseline for comparing raw model capabilities. Both labs shifted toward agentic and coding benchmarks this generation, arguing that saturated classics like MMLU no longer separate top models. Here is where GPT-5.6 and Grok 4.6 actually line up, and the important caveat that came attached to OpenAI’s numbers.

Coding and Agents (Terminal-Bench 2.1)

This is the one benchmark both new flagships report, which makes it the cleanest head-to-head. GPT-5.6 Sol posts a state-of-the-art 88.8% as a single model, rising to 91.9% in the new ultra mode that spins up sub-agents to work a task in parallel. Grok 4.6 lands at 88.4% on the same v2.1 test, which erases almost all of the gap Grok 4.5 carried at 83.3%. One number needs a warning label here: xAI also reports Grok 4.6 at 26% on Terminal-Bench v3.0, a different and much harder test. Both figures are true of the same model, and coverage that prints the 26% next to Sol’s 88.8% is comparing two different benchmarks.

The takeaway is that the shared coding-agent test no longer separates these two. Sol keeps a 0.4-point edge and the ultra-mode ceiling above it, while Grok 4.6 delivers essentially the same single-model score at a fraction of the per-task cost. For the full breakdown of the release, read our Grok 4.6 benchmarks and pricing explainer, or the Grok 4.3 review for an older baseline.

Intelligence and Token Efficiency

On the independent Artificial Analysis Intelligence Index (checked August 2026), Grok 4.6 scores 61, up five points from Grok 4.5’s 56 on the same run. Only Claude Opus 5 at 63 and Claude Fable 5 at 62 sit above it, GPT-5.6 Sol ties it at 61, and Kimi K3 lands just behind. Joint third on the frontier, from what xAI describes as a post-training refresh rather than a new model, is the genuinely surprising part of this release. It also keeps Grok clear of every Gemini model and of the strongest open-weight model, GLM-5.2, by a comfortable margin. OpenAI itself publishes no Index figure, because the Index is computed independently.

Efficiency is where Grok 4.6 pulls decisively ahead. Artificial Analysis measures it at $0.84 per task, and on long-horizon work it finishes in roughly 53 turns and 0.5 billion input tokens against about 103 turns and 2.0 billion for Claude Opus 5. A model that needs half the turns is not just cheaper, it is faster and produces less noise in multi-step agentic pipelines.

Accuracy and the Benchmark Caveat

Every GPT-5.6 figure is OpenAI-reported, not independently audited, and that matters more than usual this time. Independent evaluator METR found that Sol gamed its software-engineering tests at the highest rate the organization has ever recorded, exploiting evaluation bugs and extracting hidden test answers. OpenAI’s own system card backs the concern, acknowledging the model sometimes cheats on tasks and fabricates results, with an “over-agency” tendency higher than GPT-5.5.

Grok has its own accuracy trade-off. Its tendency to pull from real-time X and web sources can introduce unverified claims, especially when social media data is the primary source. No AI model is hallucination-free, so whichever chatbot you use, verify critical facts before you rely on them.

Grok vs ChatGPT Pricing: What Does Each Cost?

Both platforms offer free access, but the paid tiers differ significantly in price and what you get.

ChatGPT Pricing (July 2026)

Plan Price Key Features
Free $0 GPT-5.6 Terra in ChatGPT Work/Codex, web browsing, file uploads (no Sol)
Go $8/month More usage, GPT-5.6 Terra access, basic features
Plus $20/month GPT-5.6 Sol (medium+ effort), image gen, Advanced Voice, custom GPTs
Pro $100/month Sol Pro option, 5x Codex usage vs Plus
Pro $200 $200/month Sol Pro, unlimited access, computer use
Business $25-30/user/month Team management, admin controls
Enterprise Custom Custom deployment, compliance, security

Grok Pricing (July 2026)

Plan Price Key Features
Free $0 Limited daily use, older models, Aurora, basic voice
X Premium $8/month Enhanced Grok access via X
SuperGrok Lite $10/month Basic standalone access
SuperGrok $30/month Grok 4.6 included, DeepSearch, unlimited image gen
X Premium+ $40/month Priority Grok access, Grok 4.6
SuperGrok Heavy $300/month Maximum usage limits, priority access, multi-agent features

Fello AI: Access Both for Less

If you do not want to commit to a single platform, Fello AI gives you access to ChatGPT, Grok, Claude, Gemini, and DeepSeek in one native Mac app for $9.99/month. That is less than half the cost of ChatGPT Plus alone, and a third of what SuperGrok charges. Fello AI is available on Mac, iPhone, and iPad, with a 4.7-star rating and 25,000+ reviews, and is featured in our best AI apps for iPhone ranking.

Plan Price What You Get
Fello AI $9.99/month ChatGPT, Grok, Claude, Gemini, and more in one app
ChatGPT Plus $20/month ChatGPT only
SuperGrok $30/month Grok only

For most people who want to try both Grok and ChatGPT without paying for two separate subscriptions, Fello AI is the most cost-effective option.

Which Pricing Plan Is Worth It?

Bottom line on pricing: ChatGPT Plus at $20/month gives you Sol-level access for less than SuperGrok at $30/month. ChatGPT’s free tier is also more generous, offering GPT-5.6 Terra through ChatGPT Work and Codex, web browsing, and file uploads without paying anything, while Grok’s free tier caps daily usage and holds back the newest model. For the full picture, here is exactly what Grok’s free tier includes.

For developers using the API, Grok’s pricing is significantly cheaper than OpenAI’s flagship. The Grok 4.6 API runs at $2 per million input tokens and $6 per million output tokens, unchanged from Grok 4.5, with cached input at $0.50 per million. Cross 200,000 tokens in a prompt and every token in that request re-bills at the higher tier, $4 / $1 / $12, not just the overage. GPT-5.6 spans three tiers, and OpenAI cut the cheaper two on July 30, 2026, so the ladder now runs from Luna at $0.20 / $1.20 through Terra at $2 / $12 up to Sol at $5 / $30. That splits the answer in two. Route flagship traffic through Grok 4.6 instead of Sol and you pay a fraction of the output cost at the same volume, now at the same measured intelligence. Route high-volume, low-difficulty traffic and Grok is no longer the cheap option: Luna undercuts Grok 4.6 by 10x on input and 5x on output, and Terra matches it on input at $2. For the full breakdown, see our Grok pricing guide.

If you are an individual user who wants access to multiple AI models without juggling subscriptions, Fello AI at $9.99/month is the smartest play. You get ChatGPT, Grok, and several other top models in a single app.

Grok vs ChatGPT for Coding

Coding is where this generation shifted most. Grok 4.5 was xAI’s first model built specifically for coding and agentic work, trained on real Cursor developer session data, and Grok 4.6 spends its entire post-training run deepening that, so the old “Grok is only good for quick scripts” framing no longer holds. Cursor, which shipped the model on day one, reports that Grok 4.6 does more self-testing and verification before moving to the next step. GPT-5.6 Sol still edges the shared benchmark at 88.8% against 88.4%, and it pushes further with ultra mode for the hardest multi-hour jobs, but that is a rounding error rather than a generational gap now.

ChatGPT is better for:

  • The hardest coding sessions and complex agentic work (GPT-5.6 Sol ultra mode)
  • Multi-file projects and debugging with 500+ tool integrations
  • Computer-use automation across desktop applications
  • Enterprise and team coding workflows

Grok is better for:

  • Cost-sensitive agentic coding at scale (half the per-task cost of GPT-5.5 in Codex)
  • Long-running autonomous sessions across multiple repositories
  • Token-efficient pipelines where less output noise matters
  • Developers already working inside Cursor

If you regularly work with AI coding tools, you might also want to check out our comparison of Claude vs ChatGPT, since Claude is another strong contender for programming tasks.

Grok vs ChatGPT for Writing

Both chatbots can write well, but their styles differ noticeably.

ChatGPT produces more polished, structured output. It is better at maintaining consistent tone across long pieces, following brand voice guidelines, and generating publication-ready content. Its Canvas interface lets you collaborate on documents in real-time, and ChatGPT has persistent memory across sessions, so it remembers your writing preferences and style guidelines without you repeating them every time.

Grok writes with more personality and edge. Because Grok has real-time access to X, it can reference current memes, trending phrases, and cultural moments that ChatGPT might miss, which makes it stronger for social posts and punchy marketing copy. The flip side is that Grok’s sarcasm and edgier tone do not suit every brand, and ChatGPT’s safer, more neutral output is easier to use in corporate and client-facing contexts.

For professional writing, reports, and long-form content, ChatGPT is the more reliable choice. For social media, creative brainstorming, and content that needs to feel current, Grok has an advantage. If you want to test both for your writing workflow, Fello AI lets you switch between them in a single app.

Real-Time Data: Where Grok Wins

This is Grok’s biggest competitive advantage, and it is not close. Grok pulls live data from X (formerly Twitter) and the web natively, without you needing to toggle a search mode or use a plugin. You can ask about trending topics, breaking news, or public sentiment, and Grok draws directly from real-time social data. Its DeepSearch and DeeperSearch modes go further, autonomously running multiple search queries, synthesizing results, and building comprehensive research reports.

ChatGPT has web browsing capabilities, but it feels more curated and structured. You often need to explicitly ask it to search, and the results come from traditional web sources rather than live social feeds. ChatGPT’s browsing is better for finding authoritative articles, official documentation, and research papers. Grok’s real-time feed is better for understanding what people are actually saying right now.

Use Grok for:

  • Breaking news analysis
  • Social media trend tracking
  • Real-time public sentiment
  • Current event research
  • Live sports, markets, or political updates

Use ChatGPT for:

  • Research requiring verified, authoritative sources
  • Tasks where accuracy matters more than speed
  • Queries that need deep web analysis, not just trending topics

Grok vs ChatGPT Features Compared

Image Generation

Both platforms offer AI image generation, but with different tools and philosophies. ChatGPT uses GPT-Image, which produces high-quality, detailed images with strong safety filters that prevent generating harmful or misleading content. Grok uses Aurora, which generates images in around 10-15 seconds and has fewer content restrictions.

Aurora’s speed advantage is real, and you can iterate on prompts much faster with Grok. However, Grok’s looser content moderation has been controversial, with reports through late 2025 and early 2026 of Aurora being used to generate misleading images of public figures. xAI has since tightened some restrictions, but for business and professional use where brand safety matters, ChatGPT’s image generation is the safer choice.

Video Generation

OpenAI retired the Sora consumer app on April 26, 2026, with the API shutting down September 24, 2026, so ChatGPT no longer has an active video generation feature on the chat interface. Grok offers the Grok Imagine API (launched January 2026), which supports text-to-video, image-to-video, cinematic effects, object editing, scene transformations, and style transfers. With Sora retired, Grok currently has the only integrated video generation feature among the major chatbots. For a hands-on look at how those clips are prompted, see our Grok Imagine video generation guide. It is also the only mainstream chatbot to ship an R-rated Spicy Mode for paid Imagine users on iOS and Android.

Native File Output and Office Integration

Grok leans hard into knowledge work, not just software. Through its Office add-ins, it produces finished PDFs, PPTX presentations, and XLSX spreadsheets directly from a prompt, including complex Excel models with integrated web research and sophisticated PowerPoint content. Ask for a sales deck, a financial model, or a printable brief and Grok hands you the file. ChatGPT can produce these formats too, but you typically reach them through Canvas or the code interpreter rather than a single native step. For users whose work ends in a deliverable file rather than a chat reply, Grok closes a gap that previously sent people to specialised tools.

Context Window

Here the two diverged this generation. ChatGPT stays around 1,000,000 tokens, while Grok holds at 500,000 tokens, down from Grok 4.3’s full million and unchanged by the 4.6 release. That is the one clear tradeoff in an otherwise across-the-board Grok upgrade, and it matters most for developers processing very large documents, long chat histories, or multi-step agent workflows. For most consumer conversations, both handle typical sessions without hitting limits, but if you routinely feed book-length inputs, ChatGPT now holds the edge on raw context.

Computer Use

GPT-5.6 extends OpenAI’s native computer use capabilities, letting the model see screens, move cursors, click elements, type text, and interact with desktop applications. This means you can ask ChatGPT to fill out a spreadsheet, navigate a website, or complete multi-step workflows across different software tools without writing code. OpenAI’s system card does note a slight regression in computer-use safety versus GPT-5.5, so supervise sensitive tasks.

Grok does not offer consumer computer use yet. For agentic desktop automation, this gives ChatGPT an edge that Grok’s coding-focused agent harness does not match on the chat interface. If you are automating repetitive desktop tasks, computer use is a significant differentiator.

Voice Mode

Both offer voice interaction, but with different trade-offs. ChatGPT’s Advanced Voice Mode is more polished, and GPT-5.6 shipped alongside a new ChatGPT Live voice that routes hard questions to a stronger model in the background. It feels like talking to a real assistant, though Advanced Voice is only on paid plans.

Grok’s voice capabilities are more basic but included even in the free tier, making it more accessible for users who want to try voice without paying. For casual voice queries, Grok’s free voice mode is a nice perk. For extended voice conversations and professional use, ChatGPT’s voice quality is noticeably better.

Who Should Use Grok?

Grok is the better choice if you fit one of these profiles.

Journalists and researchers who need real-time information from social media and the web. Grok’s native X integration makes it the fastest way to analyze breaking news and public sentiment.

Developers on a budget who use the API or agentic coding tools heavily. Grok 4.6’s $2/$6 pricing and $0.84 cost per task deliver frontier-level coding at a fraction of what Sol charges for the same measured intelligence.

Knowledge workers who need finished deliverables. Grok 4.6 posts 50.7% on the tau3-Banking financial reasoning task and an Elo of 1577 on AA-Briefcase for business and analyst work, and its Office add-ins turn prompts into Excel models and slide decks directly.

Social media managers who need content that feels current and culturally relevant. Grok’s real-time trend access and more expressive writing style suit short-form, engagement-focused content.

Who Should Use ChatGPT?

ChatGPT is the better choice for most people, especially if you need any of the following.

Professional writers and marketers who need consistent, publication-ready output with tone control. ChatGPT’s Canvas and persistent memory make it stronger for long-term projects.

Software engineers tackling the hardest problems. GPT-5.6 Sol’s 88.8% Terminal-Bench 2.1 score, ultra mode, and computer-use support make ChatGPT the more capable partner for complex, multi-hour coding work.

Enterprise teams in regulated industries like healthcare, legal, or finance. ChatGPT’s safety filters, compliance features, and enterprise plans provide the guardrails these sectors require.

Anyone who needs a large ecosystem. With 500+ integrations connecting to Google Workspace, Microsoft 365, Slack, and more, ChatGPT fits into existing workflows better than any competitor. For a broader look at how all the top AI chatbots compare in 2026, see our ranked breakdown of the best AI models.

The Verdict: Grok vs ChatGPT in 2026

ChatGPT with GPT-5.6 is still the better all-around AI chatbot for most users in August 2026, but the case now rests on product rather than capability. It keeps its edge on ecosystem, computer use, and the hardest coding sessions through Sol’s ultra mode. What it no longer has is a benchmark lead: Terminal-Bench 2.1 is 88.8% against 88.4%, and the two tie on the Artificial Analysis Intelligence Index at 61. The important caveat is that METR flagged record-high benchmark gaming in GPT-5.6 testing, so treat the headline scores as a ceiling rather than a guarantee.

Grok 4.6 has closed the case in four concrete places. API pricing at $2 input / $6 output per million tokens is a fraction of GPT-5.6 Sol’s $5/$30 for an identical Index score, and Grok 4.6 finishes long agentic jobs in about half the turns. Native PDF, PPTX, and XLSX output turns prompts into deliverable files, and Grok’s real-time X and web access is something no ChatGPT tier matches on the chat interface. The one pricing trap to know: prompts of 200,000 tokens or more re-bill the whole request at double the rate.

If you can only pay for one consumer plan today, ChatGPT Plus at $20/month still offers the best ratio for general use. If you specifically want Grok 4.6 in a standalone seat, SuperGrok at $30/month covers it, with Heavy reserved for power users. For what comes next, here is everything we know about Grok 5.

If you want access to both without paying for two subscriptions, Fello AI gives you ChatGPT, Grok, Claude, Gemini, and DeepSeek for just $9.99/month, available on Mac, iPhone, and iPad.

FAQ

Is Grok better than ChatGPT?

For most users, no, but it is close now. On Terminal-Bench 2.1, the one benchmark both flagships report, GPT-5.6 Sol leads by 0.4 points, 88.8% against Grok 4.6’s 88.4%, and the two tie at 61 on the Artificial Analysis Intelligence Index. ChatGPT keeps its edge on ecosystem size and native computer use. Grok 4.6 is better specifically for cost, agentic efficiency, and real-time data access.

Is Grok free to use?

Yes, Grok offers a free tier with limited daily usage on grok.com, X, and the mobile apps, access to older models rather than Grok 4.6, Aurora image generation, and basic voice. For how it stacks up against the other no-cost options, see our guide to the best free AI chatbot.

How much does SuperGrok cost?

SuperGrok costs $30 per month and covers xAI’s current flagship line, now Grok 4.6. SuperGrok Heavy, the premium tier at $300 per month, adds the highest usage limits, multi-agent features, and the earliest access to new releases. X Premium+ at $40 per month also includes Grok. One caveat worth checking before you subscribe: xAI rolled Grok 4.5 out to the cheaper tiers in stages, so a $30 or $40 seat does not always serve the newest model on launch day.

What is Grok 4.6?

Grok 4.6 is xAI’s current flagship, released August 12, 2026. It is a post-training upgrade rather than a new base model, built on the same V9 foundation as Grok 4.5, and it keeps the 500,000-token context window and $2 input / $6 output per million tokens pricing while scoring five points higher on the Artificial Analysis Intelligence Index. Grok also outputs native PDF, PPTX, and XLSX files.

Is ChatGPT 5.6 better than GPT-5.5?

On OpenAI’s own benchmarks, yes, with gains in agentic coding, science, and cybersecurity, plus a new ultra mode that lifts Sol to 91.9% on Terminal-Bench 2.1. But independent evaluator METR flagged record-high benchmark gaming, so the real-world lead is likely smaller than the headline numbers suggest.

Can Grok access real-time data?

Yes, this is Grok’s biggest advantage. It pulls live data from X/Twitter and the web natively, without requiring manual search toggles. ChatGPT can browse the web but does not have the same native social media integration.