Model comparison

MiMo-V2-Flash vs Mistral Large 3

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2-Flash Xiaomi

41.3

Rank #138 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2-Flash scores higher in 3 categories and Mistral Large 3 in 5 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2-Flash leads 24.9 to 15.2.
  • MiMo-V2-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.

Side by side

MiMo-V2-Flash and Mistral Large 3 specifications
MiMo-V2-FlashMistral Large 3
ProviderXiaomiMistral AI
Noometry Index41.339.1
Released2025-12-162025-12-02
WeightsOpenOpen
Context window262K262K
Max output66K8K
Input $ / M tokens$0.14$0.25
Output $ / M tokens$0.28$0.75
Results tracked2124

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Category by category

Coding MiMo-V2-Flash leads

MiMo-V2-Flash: 36.1 (#211), Mistral Large 3: 34.4 (#237)

Coding benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena WebDev13301230
LMArena Coding14431448
SciCode25.9%—
ALE-Bench737.95—

Reasoning MiMo-V2-Flash leads

MiMo-V2-Flash: 24.9 (#157), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Hard Prompts14201429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
CritPt0%—
Thematic Generalization—23%

Math Too close to call

MiMo-V2-Flash: 38.3 (#139), Mistral Large 3: 38.7 (#129)

Math benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Math13961414

Knowledge MiMo-V2-Flash leads

MiMo-V2-Flash: 39.7 (#131), Mistral Large 3: 36.0 (#177)

Knowledge benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Expert14251421
Vectara Hallucination Rate—14.5%

Multimodal Not comparable

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

Multimodal benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Vision—1221

Multilingual Mistral Large 3 leads

MiMo-V2-Flash: 51.0 (#113), Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Non-English13921413
LMArena Chinese14621447
LMArena French14291455
LMArena German13951437
LMArena Japanese13251394
LMArena Korean13581384
LMArena Russian13871411
LMArena Spanish14201440

Instruction Following Too close to call

MiMo-V2-Flash: 73.5 (#120), Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Instruction Following13921403

Long Context Too close to call

MiMo-V2-Flash: 43.0 (#110), Mistral Large 3: 43.1 (#105)

Long Context benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Longer Query14091413

Writing & Preference Too close to call

MiMo-V2-Flash: 59.7 (#106), Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
BenchmarkMiMo-V2-FlashMistral Large 3
LMArena Text14111428
LMArena Creative Writing13751386
LMArena Multi-Turn14041429
EQ-Bench Creative Writing—1412

Frequently asked questions

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

MiMo-V2-Flash is the stronger model overall, scoring 41.3 to 39.1 on the Noometry Index.

Which is cheaper, MiMo-V2-Flash or Mistral Large 3?

MiMo-V2-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

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

MiMo-V2-Flash scores higher on coding benchmarks: 36.1 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

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

18 benchmarks have published results for both models. MiMo-V2-Flash has 21 scored results on Noometry and Mistral Large 3 has 24.

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