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MetaMuse familyPreviewReasoning modelReleased 12 Oct 2026

Muse Wonder

Meta’s first frontier-class API model (internal codename “Watermelon” per CNBC), released Oct 12, 2026.

Model idmuse-wonder-1.0

Price$4 in, $20 out per 1M tokens

Checked12 October 2026

No published training cutoff

At least0events since its release on 12 October 2026

0 historic, 0 major. 0 days of news.

Meta doesn’t publish a training cutoff, so we count from its release date. The real gap is larger.

How to call it

3 ways to use Muse Wonder, with the model id each provider expects.

Providers, model ids, endpoints and docs for Muse Wonder
ProviderModel idEndpointDocs
Meta Model API muse-wonder-1.0 https://api.meta.ai/v1/chat/completions dev.meta.ai
OpenRouter meta/muse-wonder openrouter.ai
Muse Code (every plan and pay-as-you-go) dev.meta.ai

Pricing

Prices for Muse Wonder
Input$4 per 1M tokens
Cached input$0.20 per 1M tokens
Output$20 per 1M tokens

As published: “per 1M tokens (USD), Standard mode; no Contributor mode on pay-as-you-go”.

Source: x.com, checked 12 October 2026.

Specs

Input
Text, images, video, audio and PDF
Output
Text
Context window
1,048,576 tokens
Max output
Not published
Open weights
No
Licence
Proprietary
Training cutoff
Not published
Released
12 October 2026
Status
Preview
Type
Reasoning model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • Active Memory

    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).

    Source: research.meta.ai

  • Active Focus

    Keeps working toward a goal through blockers, tries alternative approaches, asks for clarification and checks in before important actions.

    Source: research.meta.ai

  • Long-horizon coding

    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.

    Source: research.meta.ai

  • Computer use

    Operates browsers, desktop and mobile apps; OSWorld V2.1 72.6 partial / 34.3 binary (Meta’s run).

    Source: dev.meta.ai

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).

curl https://api.meta.ai/v1/chat/completions -H "Authorization: Bearer $MODEL_API_KEY" -H "Content-Type: application/json" \
 -d '{"model":"muse-wonder-1.0","messages":[{"role":"user","content":"Hello"}]}'

Sources: 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