{"schema":"postcutoff/model@1","as_of":"2026-10-12T22:30:00+02:00","url":"https://postcutoff.com/m/muse-wonder/","md":"https://postcutoff.com/m/muse-wonder/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"Adam Bicz","policy":"https://postcutoff.com/about/"},"license":null,"id":"muse-wonder","name":"Muse Wonder","org":"Meta","family":"Muse","released":"2026-10-12","status":"preview","type":"reasoning-llm","modality_in":["text","image","video","audio","pdf"],"modality_out":["text"],"open_weights":false,"model_license":"proprietary","context_window":1048576,"max_output":null,"knowledge_cutoff":null,"pricing":{"input":4,"cached_input":0.2,"output":20,"unit":"per 1M tokens (USD), Standard mode; no Contributor mode on pay-as-you-go","source":"https://x.com/artificialanlys/status/2109697083519447118"},"price_line":"$4 in, $20 out per 1M tokens","access":[{"provider":"Meta Model API","model_id":"muse-wonder-1.0","endpoint":"https://api.meta.ai/v1/chat/completions","docs":"https://dev.meta.ai/docs/models"},{"provider":"OpenRouter","model_id":"meta/muse-wonder","url":"https://openrouter.ai/meta/muse-wonder"},{"provider":"Muse Code (every plan and pay-as-you-go)","url":"https://dev.meta.ai/products/muse-code"}],"capabilities":[{"name":"Active Memory","detail":"Carries important context about the user across conversations and retrieves it when relevant; 85.6 on Meta's internal MemoryBench versus 81.5 for Claude Opus 5.5 (Meta's own run).","first":false,"discovered":"launch","source":"https://research.meta.ai/blog/muse-wonder"},{"name":"Active Focus","detail":"Keeps working toward a goal through blockers, tries alternative approaches, asks for clarification and checks in before important actions.","first":false,"discovered":"launch","source":"https://research.meta.ai/blog/muse-wonder"},{"name":"Long-horizon coding","detail":"DeepSWE 1.1 78.8 and SWE-Marathon 53.1 in Meta's table, above Claude Opus 5.5 (74.2, 46.3) and GPT-6 Astra (74.1, 42.5); plans, delegates to sub-agents and calls tools in parallel.","first":false,"discovered":"launch","source":"https://research.meta.ai/static/muse-wonder-model-card"},{"name":"Computer use","detail":"Operates browsers, desktop and mobile apps; OSWorld V2.1 72.6 partial / 34.3 binary (Meta's run).","first":false,"discovered":"launch","source":"https://dev.meta.ai/models/muse-wonder/"}],"entry":"2026-10-12-meta-muse-wonder","notes":"Docs say 'in preview'. Reasoning effort 'minimal' to 'max'. Same endpoints as Muse Spark (Responses, Chat Completions, Messages), so switching is a model-id change. Artificial Analysis Intelligence Index v4.3: 52 at max; $4.52 per index task. Prices come from Artificial Analysis, TechCrunch and the OpenRouter listing; Meta's own pricing page was not read. Knowledge cutoff and max output not published. The larger Muse Wonder Full is a separate model (muse-wonder-full).","verified":"2026-10-12","body_md":"Meta's first frontier-class API model (internal codename \"Watermelon\" per CNBC), released Oct 12, 2026.\n\n```bash\ncurl https://api.meta.ai/v1/chat/completions -H \"Authorization: Bearer $MODEL_API_KEY\" -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"muse-wonder-1.0\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'\n```\n\nSources: https://dev.meta.ai/docs/models , https://dev.meta.ai/models/muse-wonder/ , https://research.meta.ai/static/muse-wonder-model-card , https://openrouter.ai/api/v1/models","page_url":"https://postcutoff.com/m/muse-wonder/","events_after":null,"major_after":null,"historic_after":null,"missing_at_launch":null,"events_since_release":0,"you_url":"https://postcutoff.com/you/muse-wonder/","briefings":null}