Model comparison

Mistral vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Mistral Mistral AI

29.9

Rank #303 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #51 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark 1.1 leads 53.1 to 16.6.

Side by side

Mistral and Muse Spark 1.1 specifications
MistralMuse Spark 1.1
ProviderMistral AIMeta
Noometry Index29.949.9
Released—2026-04-08
WeightsProprietaryProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked2237

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Category by category

Coding Muse Spark 1.1 leads

Mistral: 33.8 (#250), Muse Spark 1.1: 51.3 (#40)

Coding benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Coding11621498
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

Mistral: —, Muse Spark 1.1: 30.8 (#73)

Agentic & Tool Use benchmarks
BenchmarkMistralMuse Spark 1.1
APEX-Agents—31.8%
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

Mistral: 22.2 (#200), Muse Spark 1.1: 47.1 (#44)

Reasoning benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Hard Prompts11491486
NYT Connections (extended)—84.9%
CritPt—15.1%
DTBench—94.4%
LMCA—49.9%
Surface Evolver Bench—52.5%
Epoch Capabilities Index—154.21

Math Muse Spark 1.1 leads

Mistral: 22.3 (#278), Muse Spark 1.1: 45.5 (#76)

Math benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Math11801483
ProofBench—39%
Omni-MATH7.2%—

Knowledge Muse Spark 1.1 leads

Mistral: 16.6 (#288), Muse Spark 1.1: 53.1 (#59)

Knowledge benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Expert11251478
SimpleQA Verified—57.8%
MMLU-Pro27.7%—
GPQA (HELM)30.3%—

Multimodal Not comparable

Mistral: —, Muse Spark 1.1: 42.6 (#29)

Multimodal benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Vision—1293
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

Mistral: 32.8 (#254), Muse Spark 1.1: 56.7 (#17)

Multilingual benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Non-English11291472
LMArena Chinese11091518
LMArena French11801494
LMArena German11551466
LMArena Japanese10131451
LMArena Korean10321458
LMArena Russian11681483
LMArena Spanish11431464

Instruction Following Muse Spark 1.1 leads

Mistral: 52.6 (#288), Muse Spark 1.1: 76.5 (#39)

Instruction Following benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Instruction Following11521457
IFEval56.8%—

Long Context Muse Spark 1.1 leads

Mistral: 35.0 (#245), Muse Spark 1.1: 44.8 (#58)

Long Context benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Longer Query11531462

Writing & Preference Muse Spark 1.1 leads

Mistral: 37.0 (#260), Muse Spark 1.1: 73.4 (#11)

Writing & Preference benchmarks
BenchmarkMistralMuse Spark 1.1
LMArena Text11651479
LMArena Creative Writing11581437
LMArena Multi-Turn11471485
EQ-Bench Creative Writing—1927
WildBench66%—
EQ-Bench 4—1260

Frequently asked questions

Is Mistral better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.9 on the Noometry Index.

Is Mistral or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 33.8 in the Noometry coding category.

How many benchmarks do Mistral and Muse Spark 1.1 share?

17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Muse Spark 1.1 has 37.

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