Noometry

Model comparison

Muse Spark 1.3 vs Pixtral Large

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 32.2 on the Noometry Index.

Last verified . 2 shared benchmarks.

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 2 benchmarks with published results for both. Muse Spark 1.3 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 1.3 leads 73.6 to 32.9.
  • Muse Spark 1.3 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Muse Spark 1.3 accepts more context: 1.05M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Muse Spark 1.3Pixtral Large
ProviderMetaMistral AI
Noometry Index54.832.2
Released2026-09-022024-11-01
WeightsProprietaryOpen
Context window1.05M128K
Max output131K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$4.25$6
Results tracked373

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Category by category

Coding Not comparable

Muse Spark 1.3: 56.6 (#21), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
CursorBench41.6%—
LMArena WebDev1657—
SciCode59.7%—
LMArena Coding1514—

Agentic & Tool Use Not comparable

Muse Spark 1.3: 38.6 (#30), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
APEX-Agents57.8%—
GDP.pdf27.6%—

Reasoning Muse Spark 1.3 leads

Muse Spark 1.3: 54.0 (#27), Pixtral Large: 21.7 (#218)

BenchmarkMuse Spark 1.3Pixtral Large
NYT Connections (extended)85.1%—
CritPt26%—
Chess Puzzles38%—
EnigmaEval—0.8%
LMArena Hard Prompts1503—
Mystery Game Puzzles25%—
DTBench96.5%—
LMCA53.9%—
Bench to the Future 30.14—
Epoch Capabilities Index156.75—

Math Not comparable

Muse Spark 1.3: 73.1 (#21), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
FrontierMath (Tiers 1-3)74.4%—
FrontierMath Tier 446.3%—
OTIS Mock AIME 2024-202599.2%—
ProofBench58%—
LMArena Math1494—

Knowledge Not comparable

Muse Spark 1.3: 42.6 (#95), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
LMArena Expert1516—

Multimodal Muse Spark 1.3 leads

Muse Spark 1.3: 43.7 (#22), Pixtral Large: 30.6 (#111)

BenchmarkMuse Spark 1.3Pixtral Large
LMArena Vision13091089
LMArena Document1471—

Multilingual Not comparable

Muse Spark 1.3: 57.4 (#8), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
LMArena Non-English1481—
LMArena Chinese1529—
LMArena French1524—
LMArena German1515—
LMArena Japanese1474—
LMArena Korean1501—
LMArena Russian1490—
LMArena Spanish1490—

Instruction Following Not comparable

Muse Spark 1.3: 77.5 (#22), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
LMArena Instruction Following1477—

Long Context Not comparable

Muse Spark 1.3: 45.6 (#32), Pixtral Large: —

BenchmarkMuse Spark 1.3Pixtral Large
LMArena Longer Query1488—

Writing & Preference Muse Spark 1.3 leads

Muse Spark 1.3: 73.6 (#9), Pixtral Large: 32.9 (#278)

BenchmarkMuse Spark 1.3Pixtral Large
EQ-Bench Creative Writing1906988
LMArena Text1490—
LMArena Creative Writing1455—
LMArena Multi-Turn1482—

Frequently asked questions

Is Muse Spark 1.3 better than Pixtral Large?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 32.2 on the Noometry Index.

Which is cheaper, Muse Spark 1.3 or Pixtral Large?

Muse Spark 1.3 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 1.3 does, with 1.05M tokens against 128K.

How many benchmarks do Muse Spark 1.3 and Pixtral Large share?

2 benchmarks have published results for both models. Muse Spark 1.3 has 37 scored results on Noometry and Pixtral Large has 3.

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