Noometry

Model comparison

MiMo-V2.5-Pro vs Mistral Large 3

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 39.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

MiMo-V2.5-Pro Xiaomi

45.2

Rank #74 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 20 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Mistral Large 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 34.4.
  • The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 7.5% for Mistral Large 3.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
  • MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.5-ProMistral Large 3
ProviderXiaomiMistral AI
Noometry Index45.239.1
Released2026-04-222025-12-02
WeightsOpenOpen
Context window1.05M262K
Max output131K8K
Input $ / M tokens$0.43$0.25
Output $ / M tokens$0.87$0.75
Results tracked2724

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Category by category

Coding MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 47.4 (#60), Mistral Large 3: 34.4 (#237)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena WebDev14791230
LMArena Coding15031448
SciCode50.2%—
ALE-Bench899.8—

Reasoning MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 26.8 (#130), Mistral Large 3: 15.2 (#319)

BenchmarkMiMo-V2.5-ProMistral Large 3
NYT Connections (extended)34.4%7.5%
LMArena Hard Prompts14881429
Kagi LLM Benchmark—50.9%
CritPt4%—
Thematic Generalization—23%
DTBench84.5%—
LMCA29.5%—

Math MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 40.0 (#96), Mistral Large 3: 38.7 (#129)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Math14811414
ProofBench22%—

Knowledge MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 42.2 (#98), Mistral Large 3: 36.0 (#177)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Expert15031421
Vectara Hallucination Rate—14.5%

Multimodal Not comparable

MiMo-V2.5-Pro: —, Mistral Large 3: 38.2 (#66)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Vision—1221

Multilingual MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 55.1 (#34), Mistral Large 3: 52.5 (#84)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Non-English14491413
LMArena Chinese15071447
LMArena French14881455
LMArena German14581437
LMArena Japanese14121394
LMArena Korean14371384
LMArena Russian14501411
LMArena Spanish14711440

Instruction Following MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 77.5 (#21), Mistral Large 3: 74.0 (#108)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Instruction Following14771403

Long Context MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 45.4 (#37), Mistral Large 3: 43.1 (#105)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Longer Query14831413

Writing & Preference MiMo-V2.5-Pro leads

MiMo-V2.5-Pro: 65.3 (#49), Mistral Large 3: 60.0 (#101)

BenchmarkMiMo-V2.5-ProMistral Large 3
LMArena Text14651428
LMArena Creative Writing14401386
EQ-Bench Creative Writing14931412
LMArena Multi-Turn14771429
EQ-Bench 41208—

Frequently asked questions

Is MiMo-V2.5-Pro better than Mistral Large 3?

MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 39.1 on the Noometry Index.

Which is cheaper, MiMo-V2.5-Pro or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.

Is MiMo-V2.5-Pro or Mistral Large 3 better for coding?

MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.5-Pro and Mistral Large 3 share?

20 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Large 3 has 24.

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