--- title: Five frontier models in one week: Opus 5.5, Grok 4.7,... description: Five frontier AI models shipped within roughly a week: Opus 5.5, Grok 4.7, GPT-6 Sol, GPT-6 Astra (possibly called Luna in one podcast), and Sonnet 5.5.... canonical: https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Five frontier models in one week: Opus 5.5, Grok 4.7, GPT-6 Sol and Astra, Sonnet 5.5 | daily.dev og:description: Five frontier AI models shipped within roughly a week: Opus 5.5, Grok 4.7, GPT-6 Sol, GPT-6 Astra (possibly called Luna in one podcast), and Sonnet 5.5.... og:url: https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0 og:image: https://api.daily.dev/og/posts/kxQyaZqD0.png og:image:alt: Five frontier models in one week: Opus 5.5, Grok 4.7, GPT-6 Sol and Astra, Sonnet 5.5 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. # Five frontier models in one week: Opus 5.5, Grok 4.7, GPT-6 Sol and Astra, Sonnet 5.5 **[Collections](https://daily.dev/sources/collections)** · 6 min read · 1 upvotes · 0 comments ## Summary Five frontier AI models shipped within roughly a week: Opus 5.5, Grok 4.7, GPT-6 Sol, GPT-6 Astra (possibly called Luna in one podcast), and Sonnet 5.5. Commentary from Theo frames the rapid clustering as what sustained frontier pacing actually looks like, while a podcast covers the wave and notably finds consensus among its hosts about Opus 5.5's quality. Tooling kept pace too: the OpenClaw 2026.9.6 client release already supports Opus 5.5, GPT-6 Sol/Luna, and Grok 4.7, alongside new features like managed updates, restart recovery, 30-day usage stats, and a GitHub reader. ## Content Opus 5.5 landed in a crowded week. Grok 4.7, GPT-6 Sol, GPT-6 Astra and Sonnet 5.5 all shipped within days of it. @theo joked that this was a strange way to "pace the frontier," then argued in a video that this is exactly what pacing looks like. Opus is the model people keep talking about, so here is what has come out of it so far. ## Benchmarks and adoption Epoch AI reports that Opus 5.5 holds the top spot on the Epoch Capabilities Index with a score of 167, narrowly ahead of the next model. On GeoGuess Bench, a new test where models guess where 210 photos were taken, Claude Opus 5.5 took first place, ahead of Fable 5.1. The same benchmark found that Muse Glimmer 30B beat GPT 6 Astra at roughly 45x lower cost, and GLM 5.3 Flash matched GPT 6.1 Sol at about a fifth of the price. @Hesamation pointed to a chart where an Opus 5.5 attempt cost about $280 against about $9,123 for the best human expert attempt. The quoted claim is that Opus 5.5 has 2.3x the experimental research taste of the best human experts. I'd want to see the methodology before leaning on that number. Adoption looks real too. @theo says Opus 5.5 is the first model to pass 50% of traffic in T3 Code: half of all prompts go to it. Vani Chat and the Vani API have added it, with Sonnet 5.5 listed as coming soon, and OpenClaw 2026.9.6 shipped support for Opus 5.5, GPT-6 Sol/Luna and Grok 4.7. @bentossell notes that no personal agents use it yet, though Opus was the favorite in early OpenClaw. ## What people built with it - **A static site generator.** One developer replaced a 15-year-old Jekyll setup with ssg, written in dependency-free C++20. Opus 5.5 wrote almost all of it in Claude Desktop in about two hours, after a roughly 20-minute prompt. It generates the blog cold in 150ms versus about 2 seconds for Jekyll, though the real motivation was escaping Jekyll's Ruby deployment pain. The author calls Opus 5.5 the first model that could copy their idiosyncratic C/C++ style, arena allocators and slices included. Earlier AI code in that style was unusable. - **A game engine.** A YouTuber gave Opus 5.5 and GPT6 Astra Ultra the same short design document and asked for a 3D engine in C++ with no further help. Astra finished in about 1.5 hours with a working but rough engine. Opus worked for around 2.5 days, hitting weekly usage limits, and produced a far more polished engine called Bassalt, with a styled editor, particle effects, physics joints, post-processing, and playable Tetris and Marble Run demos. The video is anecdotal, not a rigorous benchmark. @TheCherno ran a similar experiment. - **A Windows 11 setup.** A reviewer ran Claude Code with Opus 5.5 on a fresh Windows 11 install with one prompt: make it usable, debloat, update, install common software, secure it. It took 11 minutes and 43 tool calls, wrote six documented PowerShell scripts, installed 12 apps through winget and removed 21 bloat packages. It asked about three judgment calls and flagged the OS guardrails it couldn't bypass instead of working around them. It scored 22/24 on a hidden rubric. It lost points for wiping its own undo-log CSVs with a bad pipeline command and for missing two apps, Everything and ShareX, that added themselves to startup. - **Small fixes.** @theo had it write a Chrome extension in 1.5 minutes to stop GitHub screenshots opening in a new tab. @filippkowalski improved an app from one power user's feedback while giving it maybe 10% of his attention. Opus had access to his Workspace email and kept replying to the user. @simonw was surprised by how good the game music it wrote was. @trikcode shared a browser Minecraft turned into a realistic Star Wars game. Not every comparison favors Anthropic. In a note-taking app test using the same open-ended prompt, Codex (GPT-6 Astra/Luna) made the most polished and complete app, Folio. Claude Code with Opus 5.5 made Margin, which was technically impressive but over-built with unrequested features and a less cohesive UI. Google Antigravity declared itself done while missing explicitly requested features. Sonnet 5.5 has its own small win. A user fed 30 days of Windows 11 Event Viewer logs, about 750 entries, to it. It dismissed noise like the benign DCOM Event 10016, then found a crashing Lian Li display driver and 13 Kernel-Power 41 events, eight of them traced to Fast Startup failing silently. The fix was turning Fast Startup off. ## Impressions, cost and complaints @BHolmesDev says it has the focus and speed of Codex models with Claude's communication, variable naming and comment writing. @omarsar0 resubscribed to Max and found it far more durable than it was with Fable models, and asked Anthropic not to nerf it. Cost is the recurring gripe. @iannuttall burned through his full usage plus about $450 across 7 threads on an iOS app and pSEO site over a weekend: "great but still expensive." @scaling01 argues that Opus 5.5 medium roughly matches Sol 6.1 max. It costs 1.8x more at API prices but is 3x faster per task, and on similarly priced plans completes about 3x as many tasks because Claude plans include about 5.6x more usage. That is a partisan take, aimed squarely at OpenAI's Tibo. @yacineMTB was puzzled that Opus 5.5 triggered safeguards on a request that didn't look like frontier ML research. ## Other launches Figure is reportedly about to release Hark, a proactive AI assistant. @testingcatalog says it likely runs on Opus 5.5 for general tasks, with Gemini 3.1 Flash Image, Qwen3.6-27B and GPT-6 Astra referenced in the code. It has Pro through Pro⁴ plans, memory, projects, widgets, scheduled tasks and computer use. It later went live on web, iOS and Android, with a $100 Pro plan free for now. Vani Chat also added in-chat image and short video generation, including 6-second Grok Imagine clips, on every plan including Free. @AlexFinn calls this the greatest 30 days in tech history and lists Opus 5.5, Meta Muse, GPT-6 Astra, Grok 4.7, GPT 6.1 Sol, Sonnet 5.5 and ChatGPT Dot. That's enthusiasm more than analysis, but the pace is hard to argue with. ## Questions this post answers ### What is OpenClaw 2026.9.6 and which new AI models does it support? OpenClaw 2026.9.6 is a client tool release that added support for Opus 5.5, GPT-6 Sol/Luna, and Grok 4.7 shortly after those models shipped. The release also introduced managed updates, restart recovery, 30-day usage stats, and a GitHub reader feature. _daily.dev helps developers track which AI coding clients add support for new frontier models fastest._ ### Which new frontier AI models were released around the same time as Opus 5.5? Opus 5.5 shipped alongside Grok 4.7, GPT-6 Sol, and GPT-6 Astra (referred to as Luna in at least one podcast discussion), plus Sonnet 5.5, all within about a seven-day window from multiple AI labs. It remains unclear whether Astra and Luna refer to the same model or distinct variants within the GPT-6 family. _Developers weighing which frontier model to build with can follow fast-moving release comparisons on daily.dev._ ## Community take How the wider developer community reacted, aggregated from 4 discussions and 114 comments across x (as of 2026-10-06). **TL;DR:** Reactions to the week's flurry of frontier model releases focus heavily on Opus 5.5, with many impressed by its music/code generation and a cheaper model's surprisingly strong geolocation performance, while others push back that the gains are overhyped or incremental. **Sentiment:** 45% positive · 40% mixed · 15% skeptical **The case for** - Many found Opus 5.5's music composition (MIDI/code-based) a genuine leap over prior versions, producing listenable game-style loops and structured pieces. - Several praised a much cheaper model landing near the frontier on a geolocation benchmark, reshaping cost/performance tradeoffs. - Some liked a new agent-style app's UI and a temporary $100 free plan as an incentive to try it. **The pushback** - Some argued the apparent music/creative improvements are overstated, comparing them unfavorably to dedicated tools like Suno. - Several were skeptical the new agent app offers enough real capability beyond flashy UI to justify switching from existing tools. - A few questioned the small sample size (210 photos) behind the geolocation benchmark claims. **By community** - x (mixed): Discussion splits between enthusiasm for Opus 5.5's music and coding gains and skepticism about benchmark rigor and new app utility. **Hottest debate:** Whether the recent jump in AI-generated music quality reflects a genuine capability leap or just lowered expectations and narrow game-loop use cases. **Open questions** - Does training data coverage or reasoning style better explain why cheaper models do well on geolocation tasks? - Can these models maintain a consistent melodic theme across longer, multi-section compositions rather than short loops? - How much of the new agent app's value is genuine capability versus UI polish? **Highlights** > @simonw Dedicated music models like Suno got listenable a couple of years ago, but general models that just write the notes and a little player only started sounding decent recently. Opus 5.5 is basically the first time I’ve seen “make me Monkey Island music” come back actually good > — [opnuai on x](https://x.com/opnuai/status/2107500051295555597) > @nutlope open models ftw indeed lol > — [ifbuilder on x · 1 points](https://x.com/ifbuilder/status/2107522060721308085) > @simonw I've only just begin using Opus 5.5 for videos with generated music, so I don't have anything to compare to, but I'd describe I've got out of it as passable but very mid. Like I can make better music myself, even with nothing but Garageband (though I have more tools than that). > — [grady\_ent on x](https://x.com/grady_ent/status/2107531348756103511) > @testingcatalog User experience is really great, but actual work? It is not even close to Muse, Openbot, or even any other agents. Sorry, this is not working for me. > — [asi369\_ on x](https://x.com/asi369_/status/2107535347697791449) > @nutlope The Pareto curve is the real result: a model ~45x cheaper landing near the frontier changes what you route where. With 210 photos, treat the small gaps at the top as ties though. Same logic for any workload: cost per correct answer decides routing, rank doesn't. > — [SugarMissa1 on x](https://x.com/SugarMissa1/status/2107522425642450993) **Source threads** - [x](https://x.com/nutlope/status/2107502264101331150) · 0 points · 10 comments - [x](https://x.com/simonw/status/2107496114299822393) · 0 points · 82 comments - [x](https://x.com/testingcatalog/status/2107507173177880753) · 0 points · 22 comments - [x](https://x.com/Hesamation/status/2107519857260720159) · 1 points · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-coding](https://daily.dev/tags/ai-coding), [#claude](https://daily.dev/tags/claude), [#gpt](https://daily.dev/tags/gpt), [#grok](https://daily.dev/tags/grok) [View this post on daily.dev](https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0) ```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":"Five frontier models in one week: Opus 5.5, Grok 4.7, GPT-6 Sol and Astra, Sonnet 5.5","url":"https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0"},"datePublished":"2026-10-01T00:40:40.805Z","dateModified":"2026-10-06T18:58:16.616Z","description":"Five frontier AI models shipped within roughly a week: Opus 5.5, Grok 4.7, GPT-6 Sol, GPT-6 Astra (possibly called Luna in one podcast), and Sonnet 5.5....","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,ai-coding,claude,gpt,grok","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Five frontier models in one week: Opus 5.5, Grok 4.7, GPT-6 Sol and Astra, Sonnet 5.5"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/five-frontier-models-in-one-week-opus-5-5-grok-4-7-gpt-6-sol-and-astra-sonnet-5-5-kxqyazqd0#faq","mainEntity":[{"@type":"Question","name":"What is OpenClaw 2026.9.6 and which new AI models does it support?","acceptedAnswer":{"@type":"Answer","text":"OpenClaw 2026.9.6 is a client tool release that added support for Opus 5.5, GPT-6 Sol/Luna, and Grok 4.7 shortly after those models shipped. 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