Noometry

Model comparison

MiMo-V2-Pro vs Mistral Small 3.1

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 31.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2-Pro Xiaomi

43.0

Rank #103 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Pro scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 37.0.
  • Mistral Small 3.1 is cheaper at $0.35 / $0.56 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
  • MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
  • Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-ProMistral Small 3.1
ProviderXiaomiMistral AI
Noometry Index43.031.7
Released2026-03-182025-03-17
WeightsProprietaryOpen
Context window1.05M128K
Max output131K102K
Input $ / M tokens$0.43$0.35
Output $ / M tokens$0.87$0.56
Results tracked2328

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Category by category

Coding MiMo-V2-Pro leads

MiMo-V2-Pro: 43.8 (#83), Mistral Small 3.1: 38.3 (#179)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Coding14761309
LMArena WebDev1433—
ALE-Bench785.17—

Reasoning MiMo-V2-Pro leads

MiMo-V2-Pro: 22.1 (#206), Mistral Small 3.1: 19.7 (#254)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Hard Prompts14571278
NYT Connections (extended)25.8%—
Chess Puzzles—1%
Thematic Generalization45.9%—
Epoch Capabilities Index—127.48

Math MiMo-V2-Pro leads

MiMo-V2-Pro: 39.5 (#102), Mistral Small 3.1: 14.7 (#301)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Math14471262
OTIS Mock AIME 2024-2025—3.9%
Omni-MATH—24.8%

Knowledge MiMo-V2-Pro leads

MiMo-V2-Pro: 41.4 (#111), Mistral Small 3.1: 22.6 (#271)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Expert14781257
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal Not comparable

MiMo-V2-Pro: —, Mistral Small 3.1: 33.2 (#99)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Vision—1136

Multilingual MiMo-V2-Pro leads

MiMo-V2-Pro: 52.7 (#81), Mistral Small 3.1: 41.2 (#209)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Non-English14161255
LMArena Chinese14561253
LMArena French14691273
LMArena German14171266
LMArena Japanese13661208
LMArena Korean14001206
LMArena Russian14271263
LMArena Spanish14571283

Instruction Following MiMo-V2-Pro leads

MiMo-V2-Pro: 76.0 (#49), Mistral Small 3.1: 63.6 (#230)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Instruction Following14451264
IFEval—75%

Long Context MiMo-V2-Pro leads

MiMo-V2-Pro: 41.5 (#138), Mistral Small 3.1: 39.5 (#178)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Longer Query14551299
CL-bench15.7%—
CL-bench Life6.9%—

Writing & Preference MiMo-V2-Pro leads

MiMo-V2-Pro: 62.8 (#70), Mistral Small 3.1: 37.0 (#259)

BenchmarkMiMo-V2-ProMistral Small 3.1
LMArena Text14361277
LMArena Creative Writing14151253
LMArena Multi-Turn14561270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

Is MiMo-V2-Pro better than Mistral Small 3.1?

MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 31.7 on the Noometry Index.

Which is cheaper, MiMo-V2-Pro or Mistral Small 3.1?

Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.

Is MiMo-V2-Pro or Mistral Small 3.1 better for coding?

MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Pro does, with 1.05M tokens against 128K.

How many benchmarks do MiMo-V2-Pro and Mistral Small 3.1 share?

17 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Mistral Small 3.1 has 28.

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