--- title: Introducing Grok 4.6 | daily.dev description: xAI released Grok 4.6, an upgrade to Grok 4.5 focused on long-running agentic tasks, coding, and visual/interactive application generation. It matches GPT-5.6... canonical: https://daily.dev/posts/introducing-grok-4-6-as28sp4vk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Introducing Grok 4.6 | daily.dev og:description: xAI released Grok 4.6, an upgrade to Grok 4.5 focused on long-running agentic tasks, coding, and visual/interactive application generation. It matches GPT-5.6... og:url: https://daily.dev/posts/introducing-grok-4-6-as28sp4vk og:image: https://api.daily.dev/og/posts/AS28Sp4vk.png og:image:alt: Introducing Grok 4.6 og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Introducing Grok 4.6 **[Hacker News](https://daily.dev/sources/hn)** · 3 min read · 0 upvotes · 0 comments ## Summary xAI released Grok 4.6, an upgrade to Grok 4.5 focused on long-running agentic tasks, coding, and visual/interactive application generation. It matches GPT-5.6 Sol on the Artificial Analysis Intelligence Index and is available today in Cursor, Grok Build, the xAI API, OpenRouter, Vercel, and Cloudflare. Pricing starts at $2 per million input tokens and $6 per million output tokens, with a faster variant at double the price. xAI is offering 2x included usage in Grok Build and Cursor for the first week. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is new in Grok 4.6 compared to Grok 4.5? Grok 4.6 focuses on long-running agentic tasks and more ambitious interactive and visual work, sustaining complex multi-step tasks like researching topics, working across codebases, or turning ideas into polished applications. It underwent a longer supplemental training run with curated model-generated data for reasoning and engineering, plus regenerated SFT trajectories using Grok 4.5, producing stronger first-version output and more self-testing on longer trajectories. _Developers tracking frontier model upgrades for coding agents can follow releases like this on daily.dev._ ### How much does Grok 4.6 cost to use via the API? Pricing starts at $2 per million input tokens and $6 per million output tokens. A faster variant is also available at twice that price. The model is accessible through the xAI API as well as partners including OpenRouter, Vercel, and Cloudflare, in addition to Cursor and Grok Build. _Teams comparing LLM API costs before committing to a provider can keep tabs on pricing changes via daily.dev._ ### Where can I use Grok 4.6 for coding tasks right now? Grok 4.6 is available in Cursor and Grok Build starting on release day, with 2x included usage offered in both for the first week to encourage trying it out. It is also accessible through the xAI console API and third-party platforms like OpenRouter, Vercel, and Cloudflare. _Developers deciding which AI coding assistant to adopt can weigh options like Cursor and Grok Build via daily.dev._ ## Community take How the wider developer community reacted, aggregated from 1 discussion and 286 comments across hackernews (as of 2026-09-13). **TL;DR:** Discussion mostly veers away from the model itself into a broader debate about why every frontier lab seems to leapfrog to similar capability levels around the same time, alongside heavy skepticism about benchmarks and a large amount of controversy over Musk personally and Grok's reputation. **Sentiment:** 15% positive · 25% mixed · 60% skeptical **The case for** - Some say it's genuinely fast and cheap for coding relative to rival models. - Its release is seen by some as healthy competitive pressure on other labs. - A few think the near-simultaneous capability jumps reflect real, broadly shared technical progress rather than trickery. **The pushback** - Many suspect heavy benchmark gaming/'benchmaxxing' rather than genuine capability gains. - Strong distrust of the company's leadership colors views of the product, with references to unethical behavior and misuse concerns like CSAM generation. - Some accuse discussion of the model being astroturfed, while others counter that anti-Musk sentiment is just as inflated. - Real-world coding performance is questioned even when benchmarks look strong, with comparisons showing bloated or over-engineered output from similarly benchmarked models. **By community** - hackernews (heated): The thread quickly detours from the release itself into a contentious debate about industry-wide benchmark timing and an even more heated argument about Musk's politics and Grok's ethics/trust issues. **Hottest debate:** Whether the near-simultaneous capability jumps across labs (including this release) reflect real technical convergence, leaked techniques, or coordinated benchmark gaming. **Open questions** - Why do multiple AI labs seem to hit similar capability milestones within a very short window of each other? - Are published benchmark results a reliable signal of real-world coding/agentic capability, or increasingly gamed? - Is there a genuine compute/hardware moat, or is model-building becoming a commodity skill available to any well-funded lab? **Highlights** > I'm solidly in the "they are benchmaxxing" camp. This became very apparent with GPT 5.6 Sol. It, too, was widely hailed to have near-Fable level intelligence. But I used it non-stop for a week and realized that they had mostly just dialed up the relentlessness meter to eleven, most likely via heavy RLHF. Last week I gave it a small-sized auth ticket to work on, then stepped away. I came back later that afternoon and found that it had worked for 3+ hours and written 25,000+ lines of code. I skimmed over the code and it looked like a small fix followed by a massive number of additional checks around it, including static analysis tooling. I gave it to another GPT 5.6 and said "check this code and see if it addresses the ticket". It looked at it and said that 98% of it was garbage and should be thrown away (its own words). I then gave it to Fable, which said it was massively over-engineered. Fable's theory was that the agent implemented the fix first, but then compacted and lost crucial context, forgot what the original task was about, and kept going. After many compaction cycles it was completely lost. Some people complain that Opus 5 stops before finishing a task. But to me, that behavior is vastly preferable to what GPT 5.6 Sol does. > — [enraged\_camel on hackernews · 1 comments](https://news.ycombinator.com/item?id=49274685) > It's crazy that I'd literally trust a Chinese AI company with my data over anything Musk is involved with. Like, even if you don't care about (or even like) his politics and can look past how unlikable he comes off as, the damage he's done to his own reputation in this domain just makes using his products like this a no-go. He's literally so rich that he can get caught personally looking through chat sessions and it wouldn't slow him down a bit. He's too rich to be held accountable, and that makes it impossible to trust his businesses. It's a funny dynamic that I don't think is appreciated enough, but I know that if Google or Amazon or OpenAI or Anthropic (etc.) got caught doing something like that, the backlash would be astounding and the reputation hit they'd take would be brutal. Here, Musk would just awkwardly come out attacking people for not letting him behave unethically even more than he already is, and that'd be it. Beyond that, the obvious astroturfing that occurs on this site (along with reddit, etc.) when it comes to Grok isn't helping. All I hear about Claude, GPT, Gemini, etc., are how terrible they are, yet any discussion of Grok seems to always revolve around sensible, but confident, assertions that it's actually a great product and every new release is the point where Grok finally catches up. > — [nater5000 on hackernews · 11 comments](https://news.ycombinator.com/item?id=49274623) > what we're going through is the same thing as smartphones, the limiter is compute. it used to be snapdragon came out HTC rushed out a janky phone everyone went omg htc is goat, then in the next few weeks and months others would impliment better versions and people would not notice those as much, finally sony would release a polished phone right as the next snapdragon cycle came. eventually compute gains leveled off and apple won on taste. nvidia/tpu is the new snapdragon. Anthropic and google both peaked on the first training run on a new tpu cycle. you should expect amazing things within a few months of each other from everyone with access to chips and willingness to use them on a training run. We haven't seen willingness from google to do that. So its currently xai,oai,anthropic, and probably soon meta. > — [lanthissa on hackernews](https://news.ycombinator.com/item?id=49275178) > > benchmark hacking I think this is the main one. The benchmarks from this are heavily cherry-picked, and they also widely publicised their performance for 4.5 while downplaying the fact the benchmarks were "accidentally" in their training set > — [chippiewill on hackernews](https://news.ycombinator.com/item?id=49277969) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=49274027) · 246 points · 286 comments ## Similar posts on daily.dev - [xAI Opens Grok Build 0.1 to Developers via API](https://daily.dev/posts/xai-opens-grok-build-0-1-to-developers-via-api-fz592bcvp) · DevOps.com · 1 upvotes · 0 comments - [The Quiet Arrival of Grok Build 0.1 in a Wild Week for the xAI Empire](https://daily.dev/posts/the-quiet-arrival-of-grok-build-0-1-in-a-wild-week-for-the-xai-empire-fus2j39ne) · Kilo Blog · 0 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#grok](https://daily.dev/tags/grok) [View this post on daily.dev](https://daily.dev/posts/introducing-grok-4-6-as28sp4vk) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Introducing Grok 4.6","url":"https://daily.dev/posts/introducing-grok-4-6-as28sp4vk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/introducing-grok-4-6-as28sp4vk"},"datePublished":"2026-08-12T16:03:26.105Z","dateModified":"2026-09-13T21:46:27.963Z","description":"xAI released Grok 4.6, an upgrade to Grok 4.5 focused on long-running agentic tasks, coding, and visual/interactive application generation. 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