RankingMuse Wonder
Muse Wonder
3 published benchmark measures · 0 benchmark families contribute across 0 task areas. 0 capability estimates available in the full profile. See all results ↓ · Compare published benchmarks →
Model evidence summary
This profile combines published settings. It is not a runnable configuration or a leaderboard rank. Compare measured configurations →
Performance profile
Capabilities
Filled points are supported; hollow points are preliminary. Lines stop at unknown capabilities. Exact values and sources follow below.
Scores estimate outcomes against a shared reference panel; they are not accuracy percentages. Sparse or disconnected evidence cannot qualify an overall profile. Open a capability to inspect its evidence.
Reported effort · Not specified
Settings reported in this model's published benchmark results, including results outside the aggregate. Effort names are provider-specific. These are not API defaults or equal compute budgets.
- Not specified: 3 observations
Mixed settings means multiple settings occur in the evidence. Best across efforts means the source selected its best reported result across settings; it does not mean Max. Unspecified settings stay unknown. This model-summary chart combines reported settings. The leaderboard keeps identified configurations separate and excludes unknown effort.
Inspect each result and its source ↓ · Download effort evidenceScore contributions and missing evidence
0 contributing families across 0 capabilities. Fixed reference panels do not change when the catalog expands.
Capability is fitted jointly across families. Capability estimates below describe different task areas; their weighted sum is not the Capability score.
Results without reviewed compatibility or a reference match remain in the raw evidence below. Coverage counts only contributing results.
Model information & shareable badge
- Lab
- Meta
- Catalog status
- active
- Availability
- Public Meta Model API and Muse Code
- Family
- Muse Wonder
- Released
- 2026-10-12
- Context
- 1,000,000 tokens
- API list price
- $4 input / $20 output per million tokens
- License
- proprietary
- Model card
- https://dev.meta.ai/models/muse-wonder
- Default Capability family coverage
/badge/muse-wonder.svg
Benchmark scores & sources
Original results, evaluation harnesses, and evidence behind this model.
| Benchmark | Bucket | Score | Harness | Evidence | Source-recorded date |
|---|---|---|---|---|---|
| AutomationBench-AA | Supporting evidence | 68.09455131207758% | Artificial Analysis AutomationBench-AA | official board | 2026-10-20 |
| Humanity's Sixth Sense | Supporting evidence | 43.7% | HSS · maxReported settingsFull 522-task pass@1, task mean of three attempts; every rubric criterion must pass. 95% task-cluster bootstrap CI. Claude-Opus-5 judge. Scale AI + Elorian. Unversioned board; source hashes identify captures. Display only. Excluded from weighted Overall. Source-recorded date is the capture date, not a proven evaluation date. | official board | 2026-10-20 |
| LMArena Agent Arena | Supporting evidence | 4.94 | LMArena Agent Arena · max | official board | 2026-10-16 |
| ARC-AGI-2 | Hard reasoning | — | — | — | — |
| DeepSWE v1.1 | Agentic | — | — | — | — |
| GDPval-AA | Agentic | — | — | — | — |
| GPQA Diamond | Hard reasoning | — | — | — | — |
| Humanity's Last Exam | Hard reasoning | — | — | — | — |
| LiveCodeBench | Coding | — | — | — | — |
| LMArena Text Arena | Human pref | — | — | — | — |
| MMLU-Pro | Knowledge | — | — | — | — |
| OSWorld-Verified | Agentic | — | — | — | — |
| SWE-bench Pro | Agentic | — | — | — | — |
| SWE-bench Verified | Agentic | — | — | — | — |
| Terminal-Bench 2.1 | Agentic | — | — | — | — |