Model comparison

MiMo-V2-Omni vs Mistral Large 3

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 38.6 on the Noometry Index.

Last verified . 18 shared benchmarks.

MiMo-V2-Omni Xiaomi

42.9

Rank #91 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 18 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Mistral Large 3 in 1 category; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2-Omni leads 28.6 to 14.6.
  • MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2-Omni and Mistral Large 3 specifications
MiMo-V2-OmniMistral Large 3
ProviderXiaomiMistral AI
Noometry Index42.938.6
Released2026-03-182025-12-02
WeightsProprietaryOpen
Context window262K262K
Max output131K8K
Input $ / M tokens$0.14$0.25
Output $ / M tokens$0.28$0.75
Results tracked1824

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Category by category

Coding MiMo-V2-Omni leads

MiMo-V2-Omni: 42.7 (#87), Mistral Large 3: 34.1 (#230)

Coding benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Coding14671447
LMArena WebDev—1230

Reasoning MiMo-V2-Omni leads

MiMo-V2-Omni: 28.6 (#86), Mistral Large 3: 14.6 (#314)

Reasoning benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Hard Prompts14451429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
Thematic Generalization—23%

Math Too close to call

MiMo-V2-Omni: 36.4 (#112), Mistral Large 3: 36.0 (#131)

Math benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Math14321415

Knowledge MiMo-V2-Omni leads

MiMo-V2-Omni: 39.9 (#114), Mistral Large 3: 35.5 (#173)

Knowledge benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Expert14491421
Vectara Hallucination Rate—14.5%

Multimodal Too close to call

MiMo-V2-Omni: 37.9 (#62), Mistral Large 3: 37.6 (#65)

Multimodal benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Vision12281222

Multilingual Too close to call

MiMo-V2-Omni: 52.0 (#97), Mistral Large 3: 52.6 (#79)

Multilingual benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Non-English14041412
LMArena Chinese14691448
LMArena French14481456
LMArena German13981438
LMArena Japanese13181399
LMArena Korean13551384
LMArena Russian14121412
LMArena Spanish14321437

Instruction Following MiMo-V2-Omni leads

MiMo-V2-Omni: 75.4 (#62), Mistral Large 3: 74.1 (#104)

Instruction Following benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Instruction Following14281402

Long Context Too close to call

MiMo-V2-Omni: 44.1 (#72), Mistral Large 3: 43.1 (#102)

Long Context benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Longer Query14421413

Writing & Preference MiMo-V2-Omni leads

MiMo-V2-Omni: 61.6 (#83), Mistral Large 3: 60.2 (#100)

Writing & Preference benchmarks
BenchmarkMiMo-V2-OmniMistral Large 3
LMArena Text14241427
LMArena Creative Writing13931385
LMArena Multi-Turn14461429
EQ-Bench Creative Writing—1412

Frequently asked questions

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

MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 38.6 on the Noometry Index.

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

MiMo-V2-Omni 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-Omni or Mistral Large 3 better for coding?

MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

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

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

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