Noometry

Model comparison

MiMo-V2-Pro vs Mistral Large 3

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.

Last verified . 20 shared benchmarks.

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 20 benchmarks with published results for both. MiMo-V2-Pro scores higher in 7 categories and Mistral Large 3 in 1 category; 6 gaps are clear of the uncertainty.
  • The widest gap is in coding, where MiMo-V2-Pro leads 43.8 to 34.4.
  • The biggest single-benchmark swing is Thematic Generalization: 45.9% for MiMo-V2-Pro and 23% 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-Pro.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-ProMistral Large 3
ProviderXiaomiMistral AI
Noometry Index43.039.1
Released2026-03-182025-12-02
WeightsProprietaryOpen
Context window1.05M262K
Max output131K8K
Input $ / M tokens$0.43$0.25
Output $ / M tokens$0.87$0.75
Results tracked2324

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.8 (#83), Mistral Large 3: 34.4 (#237)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena WebDev14331230
LMArena Coding14761448
ALE-Bench785.17—

Reasoning MiMo-V2-Pro leads

MiMo-V2-Pro: 22.1 (#206), Mistral Large 3: 15.2 (#319)

BenchmarkMiMo-V2-ProMistral Large 3
NYT Connections (extended)25.8%7.5%
Thematic Generalization45.9%23%
LMArena Hard Prompts14571429
Kagi LLM Benchmark—50.9%

Math Too close to call

MiMo-V2-Pro: 39.5 (#102), Mistral Large 3: 38.7 (#129)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Math14471414

Knowledge MiMo-V2-Pro leads

MiMo-V2-Pro: 41.4 (#111), Mistral Large 3: 36.0 (#177)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Expert14781421
Vectara Hallucination Rate—14.5%

Multimodal Not comparable

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

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Vision—1221

Multilingual Too close to call

MiMo-V2-Pro: 52.7 (#81), Mistral Large 3: 52.5 (#84)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Non-English14161413
LMArena Chinese14561447
LMArena French14691455
LMArena German14171437
LMArena Japanese13661394
LMArena Korean14001384
LMArena Russian14271411
LMArena Spanish14571440

Instruction Following MiMo-V2-Pro leads

MiMo-V2-Pro: 76.0 (#49), Mistral Large 3: 74.0 (#108)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Instruction Following14451403

Long Context Mistral Large 3 leads

MiMo-V2-Pro: 41.5 (#138), Mistral Large 3: 43.1 (#105)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Longer Query14551413
CL-bench15.7%—
CL-bench Life6.9%—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.8 (#70), Mistral Large 3: 60.0 (#101)

BenchmarkMiMo-V2-ProMistral Large 3
LMArena Text14361428
LMArena Creative Writing14151386
LMArena Multi-Turn14561429
EQ-Bench Creative Writing—1412

Frequently asked questions

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

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 39.1 on the Noometry Index.

Which is cheaper, MiMo-V2-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-Pro lists at $0.43 and $0.87.

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

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

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

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

20 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Mistral Large 3 has 24.

Related comparisons

Go deeper