Model comparison

MiMo-V2.6-Flash vs Mistral Small 3.1

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 31.7 on the Noometry Index.

Last verified . 15 shared benchmarks.

MiMo-V2.6-Flash Xiaomi

48.5

Rank #55 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 15 benchmarks with published results for both. MiMo-V2.6-Flash 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-V2.6-Flash leads 51.9 to 14.7.
  • MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 128K.

Side by side

MiMo-V2.6-Flash and Mistral Small 3.1 specifications
MiMo-V2.6-FlashMistral Small 3.1
ProviderXiaomiMistral AI
Noometry Index48.531.7
Released2026-09-212025-03-17
WeightsOpenOpen
Context window1.05M128K
Max output131K102K
Input $ / M tokens$0.14$0.35
Output $ / M tokens$0.28$0.56
Results tracked1928

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Category by category

Coding MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 53.4 (#30), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Coding15041309
LMArena WebDev1637—
SciCode51.3%—

Reasoning MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 36.5 (#66), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Hard Prompts14821278
CritPt12%—
Chess Puzzles—1%
Epoch Capabilities Index—127.48

Math MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 51.9 (#52), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Math14681262
OTIS Mock AIME 2024-2025—3.9%
ProofBench63%—
Omni-MATH—24.8%

Knowledge MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 42.2 (#99), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Expert15011257
GPQA Diamond—41.9%
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 40.5 (#47), Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Vision12591136

Multilingual MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 54.0 (#51), Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Non-English14341255
LMArena Chinese15111253
LMArena French14751273
LMArena Russian14091263
LMArena Spanish14561283
LMArena German—1266
LMArena Japanese—1208
LMArena Korean—1206

Instruction Following MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 76.8 (#35), Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Instruction Following14631264
IFEval—75%

Long Context MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 44.8 (#57), Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Longer Query14631299

Writing & Preference MiMo-V2.6-Flash leads

MiMo-V2.6-Flash: 63.1 (#67), Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
BenchmarkMiMo-V2.6-FlashMistral Small 3.1
LMArena Text14551277
LMArena Creative Writing14001253
LMArena Multi-Turn14511270
EQ-Bench Creative Writing—761
WildBench—78.8%

Frequently asked questions

Is MiMo-V2.6-Flash better than Mistral Small 3.1?

MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 31.7 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Flash or Mistral Small 3.1?

MiMo-V2.6-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-V2.6-Flash or Mistral Small 3.1 better for coding?

MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Flash does, with 1.05M tokens against 128K.

How many benchmarks do MiMo-V2.6-Flash and Mistral Small 3.1 share?

15 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Mistral Small 3.1 has 28.

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