Noometry

Model comparison

MiMo-V2-Omni vs Mistral Small 3.1

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.7 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2-Omni Xiaomi

43.6

Rank #88 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2-Omni scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Omni leads 39.1 to 14.7.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
  • Mistral Small 3.1 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-OmniMistral Small 3.1
ProviderXiaomiMistral AI
Noometry Index43.631.7
Released2026-03-182025-03-17
WeightsProprietaryOpen
Context window262K128K
Max output131K102K
Input $ / M tokens$0.14$0.35
Output $ / M tokens$0.28$0.56
Results tracked1828

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 43.3 (#89), Mistral Small 3.1: 38.3 (#179)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Coding14661309

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 29.7 (#88), Mistral Small 3.1: 19.7 (#254)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Hard Prompts14451278
Chess Puzzles—1%
Epoch Capabilities Index—127.48

Math MiMo-V2-Omni leads

MiMo-V2-Omni: 39.1 (#115), Mistral Small 3.1: 14.7 (#301)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Math14301262
OTIS Mock AIME 2024-2025—3.9%
Omni-MATH—24.8%

Knowledge MiMo-V2-Omni leads

MiMo-V2-Omni: 40.5 (#118), Mistral Small 3.1: 22.6 (#271)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Expert14491257
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal MiMo-V2-Omni leads

MiMo-V2-Omni: 38.6 (#63), Mistral Small 3.1: 33.2 (#99)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Vision12281136

Multilingual MiMo-V2-Omni leads

MiMo-V2-Omni: 51.8 (#102), Mistral Small 3.1: 41.2 (#209)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Non-English14041255
LMArena Chinese14651253
LMArena French14471273
LMArena German13991266
LMArena Japanese13171208
LMArena Korean13551206
LMArena Russian14121263
LMArena Spanish14341283

Instruction Following MiMo-V2-Omni leads

MiMo-V2-Omni: 75.2 (#66), Mistral Small 3.1: 63.6 (#230)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Instruction Following14281264
IFEval—75%

Long Context MiMo-V2-Omni leads

MiMo-V2-Omni: 44.1 (#76), Mistral Small 3.1: 39.5 (#178)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Longer Query14421299

Writing & Preference MiMo-V2-Omni leads

MiMo-V2-Omni: 61.4 (#87), Mistral Small 3.1: 37.0 (#259)

BenchmarkMiMo-V2-OmniMistral Small 3.1
LMArena Text14231277
LMArena Creative Writing13921253
LMArena Multi-Turn14451270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

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

MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.7 on the Noometry Index.

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

MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

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

MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2-Omni does, with 262K tokens against 128K.

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

18 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Small 3.1 has 28.

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