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Modelreleased on 2 September 2026

Muse Spark 1.3

Meta · family Muse Spark
25thout of 71General intelligence, ECI index 158.0 (155.9 to 160.3)
Agent tasks18th out of 5258.6% completed
Coding tasks12th out of 1841.6% completed
Electricity use of a tasknot estimatedmodel size unknown

Lineage

Company
Meta
Muse Spark family
Muse Spark1.11.21.3Openthe family
Assistants that offer it
Meta AIby default, not specified (press ↗)
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 index158.0155.9 to 160.325th out of 71
  • User preferenceLMArena, Elo score149610th out of 68
  • Agent tasksEpoch AI, APEX-Agents58.6 %47.8 to 69.418th out of 52
  • Coding tasksEpoch AI, CursorBench41.6 %12th 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

SettingElectricity use of a taskTasks completedTokens per task
CursorBench, coding tasks
minimalnot estimated24.3 %10,620
lownot estimated29.3 %17,483
mediumnot estimated32.6 %27,255
highnot estimated33.4 %30,654
xhighnot estimated37.5 %40,891
maxnot estimated41.6 %52,005
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 1.3 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

AprMayJunJulAugSepOctNov150155160165General intelligence index (ECI)Muse Spark 1.3Muse WonderMuse Spark OpenMuse Spark 1.2Muse Spark 1.1Muse Spark

Dot: the index measured, at the release dateLine: the 95% intervalMuse Spark 1.3

Source: Epoch AI, "Capabilities & benchmarking", ECI index. CC BY 4.0 licence.

AI Impact, by Projet Celsius

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