Muse Spark 1.2
Lineage
- Company
- Meta
- Muse Spark family
- Muse Spark1.11.21.3Openthe family
- Assistants that offer it
- No assistant in the ranking names it on a page we have read.
- 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 index155.0152.7 to 157.543rd out of 71
- User preferenceLMArena, Elo score149311th out of 68
- Agent tasksEpoch AI, APEX-Agents45.4 %35.6 to 55.238th out of 52
- Code repairEpoch AI, DeepSWE54.9 %16th out of 26
- Coding tasksEpoch AI, CursorBenchnot 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 |
|---|---|---|---|
| DeepSWE, code repair | |||
| xhigh | not estimated | 54.9 % | 99,226 |
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 Spark 1.2 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 Spark 1.2
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 →ModelMetaMuse Spark 1.144thout of 71 on general intelligenceThe previous version of Muse Spark.The entry →AssistantMeta AI48out of 100, 5th out of 10Meta's assistant; no page we have read says that it offers Muse Spark 1.2.The entry →The hub newsletter
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