Model comparison

MiniMax-M3 vs Pixtral Large

MiniMax-M3 is the stronger model overall, scoring 43.8 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

MiniMax-M3 MiniMax

43.8

Rank #85 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 1 benchmark with published results for both. MiniMax-M3 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 MiniMax-M3 leads 62.1 to 32.9.
  • MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • MiniMax-M3 accepts more context: 1M tokens versus 128K.

Side by side

MiniMax-M3 and Pixtral Large specifications
MiniMax-M3Pixtral Large
ProviderMiniMaxMistral AI
Noometry Index43.832.2
Released2026-06-012024-11-01
WeightsOpenOpen
Context window1M128K
Max output512K128K
Input $ / M tokens$0.30$2
Output $ / M tokens$1.20$6
Results tracked413

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Category by category

Coding Not comparable

MiniMax-M3: 41.8 (#118), Pixtral Large: —

Coding benchmarks
BenchmarkMiniMax-M3Pixtral Large
FrontierCode14.7%—
LMArena WebDev1482—
SciCode47.1%—
LMArena Coding1469—
ALE-Bench640.02—

Agentic & Tool Use Not comparable

MiniMax-M3: 22.6 (#130), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkMiniMax-M3Pixtral Large
APEX-Agents37.7%—
OSWorld 2.04.6%—
GBAEval0.9%—
Vending-Bench 22,158—

Reasoning MiniMax-M3 leads

MiniMax-M3: 30.1 (#87), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkMiniMax-M3Pixtral Large
SimpleBench45.8%—
NYT Connections (extended)65.1%—
CritPt3.7%—
Chess Puzzles14%—
EnigmaEval—0.8%
LMArena Hard Prompts1447—
Mystery Game Puzzles8%—
DTBench78.9%—
LMCA33.7%—
Surface Evolver Bench55%—
Epoch Capabilities Index146.95—
ForecastBench61.4—

Math Not comparable

MiniMax-M3: 40.0 (#95), Pixtral Large: —

Math benchmarks
BenchmarkMiniMax-M3Pixtral Large
OTIS Mock AIME 2024-202571.1%—
ProofBench18%—
LMArena Math1429—

Knowledge Not comparable

MiniMax-M3: 58.4 (#35), Pixtral Large: —

Knowledge benchmarks
BenchmarkMiniMax-M3Pixtral Large
GPQA Diamond90.9%—
LMArena Expert1461—

Multimodal MiniMax-M3 leads

MiniMax-M3: 40.2 (#51), Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkMiniMax-M3Pixtral Large
LMArena Vision12531089
LMArena Document1435—

Multilingual Not comparable

MiniMax-M3: 53.0 (#75), Pixtral Large: —

Multilingual benchmarks
BenchmarkMiniMax-M3Pixtral Large
LMArena Non-English1420—
LMArena Chinese1463—
LMArena French1447—
LMArena German1426—
LMArena Japanese1381—
LMArena Korean1372—
LMArena Russian1428—
LMArena Spanish1432—

Instruction Following Not comparable

MiniMax-M3: 75.5 (#62), Pixtral Large: —

Instruction Following benchmarks
BenchmarkMiniMax-M3Pixtral Large
LMArena Instruction Following1433—

Long Context Not comparable

MiniMax-M3: 44.2 (#72), Pixtral Large: —

Long Context benchmarks
BenchmarkMiniMax-M3Pixtral Large
LMArena Longer Query1445—

Writing & Preference MiniMax-M3 leads

MiniMax-M3: 62.1 (#83), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkMiniMax-M3Pixtral Large
LMArena Text1433—
LMArena Creative Writing1404—
EQ-Bench Creative Writing—988
EQ-Bench 41150—
LMArena Multi-Turn1442—

Frequently asked questions

Is MiniMax-M3 better than Pixtral Large?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 32.2 on the Noometry Index.

Which is cheaper, MiniMax-M3 or Pixtral Large?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 128K.

How many benchmarks do MiniMax-M3 and Pixtral Large share?

1 benchmark has published results for both models. MiniMax-M3 has 41 scored results on Noometry and Pixtral Large has 3.

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