Muse Wonder
Lineage
- Company
- Meta
- Family
- Muse Wonder
- Assistants that offer it
- Meta AIpaid plan, Muse subscribers (personal agent), Muse Code (official page ↗)
- API price
- not recorded
Links read on 10/11/2026 on company pages, the press as a fallback; a link given for a family applies only to its latest version.
Rank in each benchmark
- General intelligenceEpoch AI, ECI index162.0159.6 to 164.715th out of 71
- User preferenceLMArena, Elo score15113rd out of 68
- Agent tasksEpoch AI, APEX-Agents66.1 %55.7 to 76.59th out of 52
- Coding tasksEpoch AI, CursorBench50.4 %5th out of 18
- Code repairEpoch AI, DeepSWEnot measured
Each segment of the bar is worth a tenth of the ranking; the 1st groups the best ranked. Rank among models released in 2026 and measured by the benchmark. Sources: Epoch AI, "Capabilities & benchmarking" (CC BY 4.0); LMArena, text with style control (CC BY 4.0); data as of 10 November 2026.
Effort settings
| Setting | Electricity use of a task | Tasks completed | Tokens per task |
|---|---|---|---|
| CursorBench, coding tasks | |||
| minimal | not estimated | 34.2 % | 9,761 |
| low | not estimated | 41.7 % | 18,880 |
| medium | not estimated | 45.2 % | 27,124 |
| high | not estimated | 46.1 % | 33,612 |
| xhigh | not estimated | 48.2 % | 39,564 |
| max | not estimated | 50.4 % | 49,692 |
Estimation methodology
The effort setting says how much the model reasons before answering: the higher it is, the more tokens it writes, and the more electricity the task needs. Tokens per task are measured by Epoch AI.
Electricity: Projet Celsius estimate. Tokens of the task × electricity ofwriting 1,000 tokens for the size of the model (AI Impact Database, IA-0011), × the data centre overhead (PUE). The scope covers computing on the servers and cooling; it does not cover chip manufacturing, training, the network or the device. CursorBench counts tokens read and written together: the range runs from "all read" to "all written". DeepSWE counts tokens written: the range starts from writing alone.
Model size unknown: electricity use is not estimated. Benchmark: a quick question to an assistant needs about 0.3 Wh.
Muse Wonder among Meta's models, general intelligence
Epoch AI ECI index and its 95% interval, by release date; 6 Meta models released in 2026 and measured by the ECI index
Dot: the index measured, at the release dateLine: the 95% intervalMuse Wonder
Source: Epoch AI, "Capabilities & benchmarking", ECI index. CC BY 4.0 licence.
Continue in the ranking
The full ranking →CompanyMeta7models measured, of which 4 with an entryIts assistant, its models, its governance and the electricity of its data centres.The entry →AssistantMeta AI48out of 100, 5th out of 10The assistant in the ranking that offers Muse Wonder.The entry →RankingAI modelsAll models measured3rdof 68, user preferenceThe ranking where Muse Wonder is best placed.The ranking →The hub newsletter
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