Model comparison

MiMo-V2.5 vs Mistral Large 3

MiMo-V2.5 is the stronger model overall, scoring 43.0 to 38.6 on the Noometry Index.

Last verified . 19 shared benchmarks.

MiMo-V2.5 Xiaomi

43.0

Rank #89 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 19 benchmarks with published results for both. MiMo-V2.5 scores higher in 7 categories and Mistral Large 3 in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.5 leads 27.8 to 14.6.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.5 and Mistral Large 3 specifications
MiMo-V2.5Mistral Large 3
ProviderXiaomiMistral AI
Noometry Index43.038.6
Released2026-04-222025-12-02
WeightsOpenOpen
Context window1.05M262K
Max output131K8K
Input $ / M tokens$0.14$0.25
Output $ / M tokens$0.28$0.75
Results tracked2324

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Category by category

Coding MiMo-V2.5 leads

MiMo-V2.5: 43.6 (#75), Mistral Large 3: 34.1 (#230)

Coding benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena WebDev14381230
LMArena Coding14691447
SciCode43.1%—
ALE-Bench513.95—

Reasoning MiMo-V2.5 leads

MiMo-V2.5: 27.8 (#98), Mistral Large 3: 14.6 (#314)

Reasoning benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Hard Prompts14501429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
CritPt3.7%—
Thematic Generalization—23%

Math Too close to call

MiMo-V2.5: 35.4 (#145), Mistral Large 3: 36.0 (#131)

Math benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Math14361415
ProofBench16%—

Knowledge MiMo-V2.5 leads

MiMo-V2.5: 40.2 (#109), Mistral Large 3: 35.5 (#173)

Knowledge benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Expert14591421
Vectara Hallucination Rate—14.5%

Multimodal MiMo-V2.5 leads

MiMo-V2.5: 39.0 (#53), Mistral Large 3: 37.6 (#65)

Multimodal benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Vision12451222

Multilingual Too close to call

MiMo-V2.5: 52.0 (#96), Mistral Large 3: 52.6 (#79)

Multilingual benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Non-English14041412
LMArena Chinese14671448
LMArena French14471456
LMArena German14211438
LMArena Japanese13041399
LMArena Korean13631384
LMArena Russian13951412
LMArena Spanish14121437

Instruction Following MiMo-V2.5 leads

MiMo-V2.5: 75.7 (#55), Mistral Large 3: 74.1 (#104)

Instruction Following benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Instruction Following14331402

Long Context MiMo-V2.5 leads

MiMo-V2.5: 44.1 (#69), Mistral Large 3: 43.1 (#102)

Long Context benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Longer Query14441413

Writing & Preference MiMo-V2.5 leads

MiMo-V2.5: 61.8 (#82), Mistral Large 3: 60.2 (#100)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5Mistral Large 3
LMArena Text14271427
LMArena Creative Writing13921385
LMArena Multi-Turn14451429
EQ-Bench Creative Writing—1412

Frequently asked questions

Is MiMo-V2.5 better than Mistral Large 3?

MiMo-V2.5 is the stronger model overall, scoring 43.0 to 38.6 on the Noometry Index.

Which is cheaper, MiMo-V2.5 or Mistral Large 3?

MiMo-V2.5 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-V2.5 or Mistral Large 3 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.6 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.5 and Mistral Large 3 share?

19 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral Large 3 has 24.

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