[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-claude-mythos-preview-benchmarks-price-context-en":3,"article-related-claude-mythos-preview-benchmarks-price-context-en":30,"series-model-release-82f156ee-9163-4fec-a11b-19a123329980":82},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"82f156ee-9163-4fec-a11b-19a123329980","claude-mythos-preview-benchmarks-price-context-en","Claude Mythos Preview: Benchmarks, Price, Context","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fclaude-mythos\">Claude Mythos\u003C\u002Fa> Preview is \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa>’s unreleased multimodal model tier above Opus.\u003C\u002Fp>\u003Cp>Anthropic has a new model listed as \u003Ca href=\"https:\u002F\u002Fllm-stats.com\u002Fmodels\u002Fclaude-mythos-preview\" target=\"_blank\" rel=\"noopener\">Claude Mythos Preview\u003C\u002Fa>, and the listing is already doing the usual internet thing: turning a name, a few FAQ entries, and some benchmark chatter into a full-blown rumor mill. The model is described as proprietary, multimodal, and positioned above \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude Opus\u003C\u002Fa>, with the internal codename “Capybara” attached to that higher tier.\u003C\u002Fp>\u003Cp>That sounds vague at first glance, but the page gives enough signals to make a useful read. It points to Anthropic as the creator, says the model can take text and images, and frames it as an unreleased frontier system rather than a public product you can try today.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Field\u003C\u002Fth>\u003Cth>Value\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Model name\u003C\u002Ftd>\u003Ctd>Claude Mythos Preview\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Creator\u003C\u002Ftd>\u003Ctd>Anthropic\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>License\u003C\u002Ftd>\u003Ctd>Proprietary\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Input types\u003C\u002Ftd>\u003Ctd>Text and images\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Positioning\u003C\u002Ftd>\u003Ctd>Above Opus \u002F internal codename “Capybara”\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>What the listing actually tells us\u003C\u002Fh2>\u003Cp>The \u003Ca href=\"https:\u002F\u002Fllm-stats.com\" target=\"_blank\" rel=\"noopener\">LLM Stats\u003C\u002Fa> page is light on hard product details, but it still gives a few concrete anchors. \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> Mythos Preview is listed as a multimodal model, which means Anthropic expects it to handle both text and image input. It is also marked proprietary, so this is not an open release with weights or a permissive license.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779401177636-e372.png\" alt=\"Claude Mythos Preview: Benchmarks, Price, Context\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>The more interesting part is the positioning. \u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa> Stats says Mythos sits above Opus, which matters because Opus is Anthropic’s top public Claude tier today. If that hierarchy is accurate, Mythos is less a small refresh and more a higher internal class of model that may eventually replace or sit beside the current flagship line.\u003C\u002Fp>\u003Cul>\u003Cli>Created by Anthropic\u003C\u002Fli>\u003Cli>Proprietary license\u003C\u002Fli>\u003Cli>Multimodal input support\u003C\u002Fli>\u003Cli>Higher tier than Opus\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Why the benchmark talk matters\u003C\u002Fh2>\u003Cp>The source text claims Claude Mythos Preview identified thousands of zero-day vulnerabilities across major operating systems and web browsers. That is the kind of claim that instantly raises eyebrows, because it suggests a model with unusually strong reasoning and offensive security capability, or a benchmark story that needs more context before anyone treats it as proof.\u003C\u002Fp>\u003Cp>There is a big difference between a model being good at finding bugs in controlled tests and a model being broadly reliable in real-world security work. If Anthropic is testing this system against vulnerability discovery tasks, that would fit a pattern we have seen across frontier models: benchmark performance can spike on narrow tasks long before product teams are ready to expose the model widely.\u003C\u002Fp>\u003Cblockquote>“We’re not building models to be clever in a demo; we’re building them to be useful in the real world.” — Dario Amodei, Anthropic, in a 2024 interview with \u003Ca href=\"https:\u002F\u002Fwww.wired.com\u002Fstory\u002Fanthropic-dario-amodei-ai-safety\u002F\" target=\"_blank\" rel=\"noopener\">WIRED\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>That quote matters here because it captures Anthropic’s public posture. The company has repeatedly framed its work around utility, safety, and controlled deployment, which makes sense for a model that appears to sit above Opus and is still labeled preview rather than released.\u003C\u002Fp>\u003Ch2>How it compares with Anthropic’s current lineup\u003C\u002Fh2>\u003Cp>On the public side, Anthropic’s Claude family currently centers on models like \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fopus\" target=\"_blank\" rel=\"noopener\">Claude Opus\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fsonnet\" target=\"_blank\" rel=\"noopener\">Claude Sonnet\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\u002Fhaiku\" target=\"_blank\" rel=\"noopener\">Claude Haiku\u003C\u002Fa>. Mythos Preview does not have a public API page, pricing card, or docs page yet, which makes it different from the models developers can actually buy and ship with today.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779401175974-8t4f.png\" alt=\"Claude Mythos Preview: Benchmarks, Price, Context\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>That gap matters more than the name itself. A lot of model launches get overread because people focus on raw capability and ignore deployment details. For teams building products, the real questions are still the boring ones: when will it be available, what will it cost, what will the context window look like, and how stable will the API be under load?\u003C\u002Fp>\u003Cul>\u003Cli>Opus, Sonnet, and Haiku are public Claude tiers\u003C\u002Fli>\u003Cli>Mythos Preview has no public pricing page yet\u003C\u002Fli>\u003Cli>No official context window is listed on the source page\u003C\u002Fli>\u003Cli>No public API docs are linked from the listing\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>What developers should watch next\u003C\u002Fh2>\u003Cp>For now, Claude Mythos Preview is more signal than product. The listing tells us Anthropic is testing a model class above Opus, and the security-related benchmark chatter suggests the company may be exploring stronger reasoning in domains where mistakes are expensive.\u003C\u002Fp>\u003Cp>If Anthropic turns this into a public release, the first things to watch are pricing, rate limits, and context length. Those three numbers will tell developers far more than the codename ever will. A higher-tier Claude model only matters to engineering teams if it can justify its cost in code review, research, \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> workflows, or security analysis.\u003C\u002Fp>\u003Cp>My guess: the next real update will come from Anthropic itself, not from leaderboard pages. Until then, Claude Mythos Preview is best read as a signal that the company is already testing what comes after Opus, and the market will care less about the codename than about whether the model is worth integrating.\u003C\u002Fp>\u003Cp>If you want a closer read on how model tiers are being positioned across vendors, see our related coverage on \u003Ca href=\"\u002Fnews\u002Fclaude-opus-4-5-analysis\" target=\"_blank\" rel=\"noopener\">Claude Opus 4.5\u003C\u002Fa> and \u003Ca href=\"\u002Fnews\u002Fgpt-5-1-model-notes\" target=\"_blank\" rel=\"noopener\">GPT-5.1\u003C\u002Fa>.\u003C\u002Fp>","Anthropic’s Claude Mythos Preview is an unreleased multimodal model with a proprietary license and a place above Opus.","llm-stats.com","https:\u002F\u002Fllm-stats.com\u002Fmodels\u002Fclaude-mythos-preview",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779401177636-e372.png","model-release","en","fe00f162-ac54-4c4e-b2db-c8dd5f2b53a7",[17,18,19,20,21],"Anthropic","Claude Mythos Preview","multimodal model","benchmarking","LLM pricing",[23,24,25],"Claude Mythos Preview is listed as Anthropic’s unreleased multimodal model above Opus.","The source page gives no public pricing, context window, or API docs yet.","Security benchmark claims are notable, but they need more context before they mean much.",3,"2026-05-21T22:05:50.777661+00:00","2026-05-21T22:05:50.773+00:00","1bae1133-d241-4581-9332-fbf39690c319",{"tags":31,"relatedLang":41,"relatedPosts":45},[32,34,36,38,39],{"name":21,"slug":33},"llm-pricing",{"name":18,"slug":35},"claude-mythos-preview",{"name":17,"slug":37},"anthropic",{"name":20,"slug":20},{"name":19,"slug":40},"multimodal-model",{"id":15,"slug":42,"title":43,"language":44},"claude-mythos-preview-benchmarks-price-context-zh","Claude Mythos Preview：價格、上下文與定位","zh",[46,52,58,64,70,76],{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":13},"58aa41ca-2c5f-44c6-ab07-2002473e95b1","gemini-1-5-pro-002-flash-002-2-0-flash-update-en","Gemini 1.5 Pro-002, Flash-002 and 2.0 Flash update Google AI","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780999383257-jccn.png","2026-06-09T10:02:28.362637+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":13},"435fc551-a461-444a-bf95-dbf5685cfac0","minimax-m3-open-weight-coding-win-en","MiniMax M3 Proves Open-Weight Can Still Win on Coding","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780968781159-odhi.png","2026-06-09T01:32:31.256895+00:00",{"id":59,"slug":60,"title":61,"cover_image":62,"image_url":62,"created_at":63,"category":13},"12af5a0d-1bbf-4a50-a391-b53f8003f234","gemini-35-flash-pricing-benchmarks-en","Gemini 3.5 Flash Pricing, Context, Benchmarks","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780840981235-e7hm.png","2026-06-07T14:02:30.280485+00:00",{"id":65,"slug":66,"title":67,"cover_image":68,"image_url":68,"created_at":69,"category":13},"0e767e9d-5d17-4cd0-b6ee-0328f89eb49b","gemma-4-12b-specs-benchmarks-run-locally-en","Gemma 4 12B: Specs, Benchmarks & How to Run It Locally","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780777984661-5ymr.png","2026-06-06T20:32:25.294996+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":13},"9d15f962-739d-44f8-a7f9-11bca64d38e0","best-kimi-models-2026-k2-5-vs-k2-thinking-en","Best Kimi Models in 2026: K2.5 vs K2 Thinking","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780770786284-shy0.png","2026-06-06T18:32:39.779504+00:00",{"id":77,"slug":78,"title":79,"cover_image":80,"image_url":80,"created_at":81,"category":13},"34547376-5d6b-4453-8d80-8072d8ac36ed","kimi-k2-6-open-source-coding-agent-swarm-en","Kimi K2.6 adds open-source coding and agent swarm","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780761781526-wop4.png","2026-06-06T16:02:22.26883+00:00",[83,88,93,98,103,108,113,118,123,128],{"id":84,"slug":85,"title":86,"created_at":87},"d4cffde7-9b50-4cc7-bb68-8bc9e3b15477","nvidia-rubin-ai-supercomputer-en","NVIDIA Unveils Rubin: A Leap in AI Supercomputing","2026-03-25T16:24:35.155565+00:00",{"id":89,"slug":90,"title":91,"created_at":92},"eab919b9-fbac-4048-89fc-afad6749ccef","google-gemini-ai-innovations-2026-en","Google's AI Leap with Gemini 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