Noometry

Model comparison

MiMo-V2-Flash vs Mistral Small 3.1

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 31.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 17 benchmarks with published results for both. MiMo-V2-Flash scores higher in 7 categories and Mistral Small 3.1 in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where MiMo-V2-Flash leads 38.3 to 14.7.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • MiMo-V2-Flash accepts more context: 262K tokens versus 128K.

Side by side

MiMo-V2-FlashMistral Small 3.1
ProviderXiaomiMistral AI
Noometry Index41.331.7
Released2025-12-162025-03-17
WeightsOpenOpen
Context window262K128K
Max output66K102K
Input $ / M tokens$0.14$0.35
Output $ / M tokens$0.28$0.56
Results tracked2128

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Category by category

Coding Mistral Small 3.1 leads

MiMo-V2-Flash: 36.1 (#211), Mistral Small 3.1: 38.3 (#179)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Coding14431309
LMArena WebDev1330—
SciCode25.9%—
ALE-Bench737.95—

Reasoning MiMo-V2-Flash leads

MiMo-V2-Flash: 24.9 (#157), Mistral Small 3.1: 19.7 (#254)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Hard Prompts14201278
CritPt0%—
Chess Puzzles—1%
Epoch Capabilities Index—127.48

Math MiMo-V2-Flash leads

MiMo-V2-Flash: 38.3 (#139), Mistral Small 3.1: 14.7 (#301)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Math13961262
OTIS Mock AIME 2024-2025—3.9%
Omni-MATH—24.8%

Knowledge MiMo-V2-Flash leads

MiMo-V2-Flash: 39.7 (#131), Mistral Small 3.1: 22.6 (#271)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Expert14251257
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal Not comparable

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

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Vision—1136

Multilingual MiMo-V2-Flash leads

MiMo-V2-Flash: 51.0 (#113), Mistral Small 3.1: 41.2 (#209)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Non-English13921255
LMArena Chinese14621253
LMArena French14291273
LMArena German13951266
LMArena Japanese13251208
LMArena Korean13581206
LMArena Russian13871263
LMArena Spanish14201283

Instruction Following MiMo-V2-Flash leads

MiMo-V2-Flash: 73.5 (#120), Mistral Small 3.1: 63.6 (#230)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Instruction Following13921264
IFEval—75%

Long Context MiMo-V2-Flash leads

MiMo-V2-Flash: 43.0 (#110), Mistral Small 3.1: 39.5 (#178)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Longer Query14091299

Writing & Preference MiMo-V2-Flash leads

MiMo-V2-Flash: 59.7 (#106), Mistral Small 3.1: 37.0 (#259)

BenchmarkMiMo-V2-FlashMistral Small 3.1
LMArena Text14111277
LMArena Creative Writing13751253
LMArena Multi-Turn14041270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

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

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 31.7 on the Noometry Index.

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

MiMo-V2-Flash 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-Flash or Mistral Small 3.1 better for coding?

Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 36.1 in the Noometry coding category.

Which has the bigger context window?

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

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

17 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mistral Small 3.1 has 28.

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