Noometry

Model comparison

Mistral Medium 3.5 vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 40.2 on the Noometry Index.

Last verified . 20 shared benchmarks.

Mistral Medium 3.5 Mistral AI

40.2

Rank #152 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 0 categories and Muse Spark 1.3 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 17.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 12.9% for Mistral Medium 3.5 and 85.1% for Muse Spark 1.3.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 262K.
  • Mistral Medium 3.5 has downloadable open weights; the other is API-only.

Side by side

Mistral Medium 3.5Muse Spark 1.3
ProviderMistral AIMeta
Noometry Index40.254.8
Released—2026-09-02
WeightsOpenProprietary
Context window262K1.05M
Max output210K131K
Input $ / M tokens$1.50$1.25
Output $ / M tokens$7.50$4.25
Results tracked2237

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Category by category

Coding Muse Spark 1.3 leads

Mistral Medium 3.5: 36.0 (#213), Muse Spark 1.3: 56.6 (#21)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena WebDev12641657
LMArena Coding14611514
CursorBench—41.6%
SciCode—59.7%

Agentic & Tool Use Not comparable

Mistral Medium 3.5: —, Muse Spark 1.3: 38.6 (#30)

BenchmarkMistral Medium 3.5Muse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Mistral Medium 3.5: 17.3 (#295), Muse Spark 1.3: 54.0 (#27)

BenchmarkMistral Medium 3.5Muse Spark 1.3
NYT Connections (extended)12.9%85.1%
LMArena Hard Prompts14361503
Epoch Capabilities Index141.35156.75
Kagi LLM Benchmark41.4%—
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14

Math Muse Spark 1.3 leads

Mistral Medium 3.5: 39.1 (#113), Muse Spark 1.3: 73.1 (#21)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Math14311494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Muse Spark 1.3 leads

Mistral Medium 3.5: 40.0 (#126), Muse Spark 1.3: 42.6 (#95)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Expert14321516

Multimodal Muse Spark 1.3 leads

Mistral Medium 3.5: 38.3 (#65), Muse Spark 1.3: 43.7 (#22)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Vision12231309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Mistral Medium 3.5: 51.9 (#100), Muse Spark 1.3: 57.4 (#8)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Non-English14041481
LMArena Chinese14421529
LMArena French14481524
LMArena German14511515
LMArena Korean13851501
LMArena Russian13951490
LMArena Spanish14091490
LMArena Japanese—1474

Instruction Following Muse Spark 1.3 leads

Mistral Medium 3.5: 74.6 (#90), Muse Spark 1.3: 77.5 (#22)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Instruction Following14151477

Long Context Muse Spark 1.3 leads

Mistral Medium 3.5: 43.2 (#103), Muse Spark 1.3: 45.6 (#32)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Longer Query14151488

Writing & Preference Muse Spark 1.3 leads

Mistral Medium 3.5: 58.5 (#117), Muse Spark 1.3: 73.6 (#9)

BenchmarkMistral Medium 3.5Muse Spark 1.3
LMArena Text14211490
LMArena Creative Writing13741455
LMArena Multi-Turn14231482
EQ-Bench Creative Writing—1906
EQ-Bench 4993—

Frequently asked questions

Is Mistral Medium 3.5 better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 40.2 on the Noometry Index.

Which is cheaper, Mistral Medium 3.5 or Muse Spark 1.3?

Muse Spark 1.3 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.

Is Mistral Medium 3.5 or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 36.0 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.3 does, with 1.05M tokens against 262K.

How many benchmarks do Mistral Medium 3.5 and Muse Spark 1.3 share?

20 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Muse Spark 1.3 has 37.

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