Model comparison

Muse Spark 1.1 vs Pixtral Large

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 31.7 on the Noometry Index.

Last verified . 2 shared benchmarks.

Muse Spark 1.1 Meta

49.9

Rank #43 Confirmed

Pixtral Large Mistral AI

31.7

Rank #257 Reported

Summary

  • They share 2 benchmarks with published results for both. Muse Spark 1.1 scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.6 to 32.9.
  • Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Muse Spark 1.1 accepts more context: 1.05M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.1 and Pixtral Large specifications
Muse Spark 1.1Pixtral Large
ProviderMetaMistral AI
Noometry Index49.931.7
Released2026-04-082024-11-01
WeightsProprietaryOpen
Context window1.05M128K
Max output131K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$4.25$6
Results tracked363

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Category by category

Coding Not comparable

Muse Spark 1.1: 50.8 (#38), Pixtral Large: —

Coding benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
DeepSWE53.3%—
LMArena WebDev1542—
SciCode58.8%—
LMArena Coding1497—

Agentic & Tool Use Not comparable

Muse Spark 1.1: 33.9 (#45), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
τ²-bench Banking40.5%—
GBAEval7.9%—
GDP.pdf15%—
Vending-Bench 26,520—

Reasoning Muse Spark 1.1 leads

Muse Spark 1.1: 45.9 (#41), Pixtral Large: 20.9 (#208)

Reasoning benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
NYT Connections (extended)84.9%—
CritPt15.1%—
EnigmaEval—0.8%
LMArena Hard Prompts1486—
DTBench94.4%—
LMCA49.9%—
Surface Evolver Bench52.5%—
Epoch Capabilities Index154.32—

Math Not comparable

Muse Spark 1.1: 44.0 (#67), Pixtral Large: —

Math benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
ProofBench39%—
LMArena Math1477—

Knowledge Not comparable

Muse Spark 1.1: 52.8 (#55), Pixtral Large: —

Knowledge benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
SimpleQA Verified57.8%—
LMArena Expert1480—

Multimodal Muse Spark 1.1 leads

Muse Spark 1.1: 41.9 (#28), Pixtral Large: 30.0 (#105)

Multimodal benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
LMArena Vision12921089
LMArena Document1465—

Multilingual Not comparable

Muse Spark 1.1: 56.8 (#16), Pixtral Large: —

Multilingual benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
LMArena Non-English1471—
LMArena Chinese1518—
LMArena French1494—
LMArena German1466—
LMArena Japanese1445—
LMArena Korean1459—
LMArena Russian1482—
LMArena Spanish1471—

Instruction Following Not comparable

Muse Spark 1.1: 76.8 (#36), Pixtral Large: —

Instruction Following benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
LMArena Instruction Following1457—

Long Context Not comparable

Muse Spark 1.1: 44.8 (#55), Pixtral Large: —

Long Context benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
LMArena Longer Query1463—

Writing & Preference Muse Spark 1.1 leads

Muse Spark 1.1: 73.6 (#11), Pixtral Large: 32.9 (#273)

Writing & Preference benchmarks
BenchmarkMuse Spark 1.1Pixtral Large
EQ-Bench Creative Writing1927988
LMArena Text1479—
LMArena Creative Writing1440—
EQ-Bench 41260—
LMArena Multi-Turn1484—

Frequently asked questions

Is Muse Spark 1.1 better than Pixtral Large?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 31.7 on the Noometry Index.

Which is cheaper, Muse Spark 1.1 or Pixtral Large?

Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Muse Spark 1.1 does, with 1.05M tokens against 128K.

How many benchmarks do Muse Spark 1.1 and Pixtral Large share?

2 benchmarks have published results for both models. Muse Spark 1.1 has 36 scored results on Noometry and Pixtral Large has 3.

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