Muse Wonder
- Family
- Muse
- Released
- 2026-10-12
- Context
- 1M
- Specialization
- coding
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
Large-scale open-source AI for social technologies.
Cheapest of 3 routes · Meta Model API · cache read $0.200
About
Muse Wonder is a Meta Superintelligence Labs model released October 12, 2026, for agentic coding, long-running agents and computer use. Meta says it builds on a larger base model than the Muse Spark models. It takes text, image, video and audio input and returns text, with a 1M-token context window. A larger sibling, Muse Wonder Full, is offered only through a Muse Code subscription.
Provider price ladder
Compare all 3Compare API pricing across 3 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| Meta Model API | $4.00 | $20.00 | read $0.200 | Serverless |
| OpenRouter | $4.00 | $20.00 | read $0.200 | Serverless |
| Vercel AI Gateway | $4.00 | $20.00 | read $0.200 | Serverless |
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(4)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| DeepSWE 1.1 | 78.8 | —Observed 2026-10-12 | Configuration: Muse Wonder (max) Evaluator: Meta Confidence: self-reported Notes: Meta first-party benchmark table on the Muse Wonder model page; methodology in the Muse Wonder model card. | Source |
| Finance Agent v2 | 56.6 | —Observed 2026-10-12 | Configuration: Muse Wonder (max) Evaluator: Meta Confidence: self-reported Notes: Meta first-party benchmark table on the Muse Wonder model page; methodology in the Muse Wonder model card. | Source |
| GDP.pdf | 30.8 | —Observed 2026-10-12 | Configuration: Muse Wonder (max) Evaluator: Meta Confidence: self-reported Notes: Meta first-party benchmark table on the Muse Wonder model page; methodology in the Muse Wonder model card. | Source |
| Program Bench | 50.0 | —Observed 2026-10-12 | Configuration: Muse Wonder (max) Evaluator: Meta Confidence: self-reported Notes: Meta first-party benchmark table on the Muse Wonder model page; methodology in the Muse Wonder model card. | Source |
Migration checks
No linked migration route is available for this model yet.
API versions
muse-wonder-1.0Rankings & picks(2)
Large-scale open-source AI for social technologies.
Cheapest of 3 routes · Meta Model API · cache read $0.200