Model comparison

MiMo-V2.5 vs Mistral Large 4

MiMo-V2.5 and Mistral Large 4 score almost the same on the Noometry Index (43.4 vs 43.1), so choose on price, context window or the category you care about most.

Last verified . 13 shared benchmarks.

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Mistral Large 4 Mistral AI

43.1

Rank #99 Confirmed

Summary

  • They share 13 benchmarks with published results for both. MiMo-V2.5 scores higher in 5 categories and Mistral Large 4 in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.5 leads 28.6 to 22.5.
  • MiMo-V2.5 is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
  • MiMo-V2.5 has downloadable open weights; the other is API-only.

Side by side

MiMo-V2.5 and Mistral Large 4 specifications
MiMo-V2.5Mistral Large 4
ProviderXiaomiMistral AI
Noometry Index43.443.1
Released2026-04-222026-10-06
WeightsOpenProprietary
Context window1.05M1.05M
Max output131K262K
Input $ / M tokens$0.14$0.68
Output $ / M tokens$0.28$2.09
Results tracked2315

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Category by category

Coding Mistral Large 4 leads

MiMo-V2.5: 43.9 (#81), Mistral Large 4: 48.6 (#57)

Coding benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena WebDev14381541
LMArena Coding14691475
SciCode43.1%—
ALE-Bench513.95—

Reasoning MiMo-V2.5 leads

MiMo-V2.5: 28.6 (#101), Mistral Large 4: 22.5 (#192)

Reasoning benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Hard Prompts14501444
NYT Connections (extended)—27.4%
CritPt3.7%—

Math Mistral Large 4 leads

MiMo-V2.5: 36.8 (#163), Mistral Large 4: 40.4 (#91)

Math benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Math14361488
ProofBench16%—

Knowledge MiMo-V2.5 leads

MiMo-V2.5: 40.8 (#115), Mistral Large 4: 36.6 (#166)

Knowledge benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Expert14601447
SimpleQA Verified—20%

Multimodal Not comparable

MiMo-V2.5: 39.8 (#54), Mistral Large 4: —

Multimodal benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Vision1247—

Multilingual Too close to call

MiMo-V2.5: 51.9 (#99), Mistral Large 4: 52.6 (#82)

Multilingual benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Non-English14041415
LMArena Chinese14681491
LMArena Russian13951414
LMArena French1447—
LMArena German1421—
LMArena Japanese1306—
LMArena Korean1363—
LMArena Spanish1416—

Instruction Following Too close to call

MiMo-V2.5: 75.5 (#60), Mistral Large 4: 75.0 (#76)

Instruction Following benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Instruction Following14341424

Long Context Too close to call

MiMo-V2.5: 44.2 (#73), Mistral Large 4: 43.6 (#89)

Long Context benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Longer Query14451429

Writing & Preference MiMo-V2.5 leads

MiMo-V2.5: 61.6 (#86), Mistral Large 4: 60.4 (#97)

Writing & Preference benchmarks
BenchmarkMiMo-V2.5Mistral Large 4
LMArena Text14281427
LMArena Creative Writing13931361
LMArena Multi-Turn14451424

Frequently asked questions

Is MiMo-V2.5 better than Mistral Large 4?

MiMo-V2.5 and Mistral Large 4 score almost the same on the Noometry Index (43.4 vs 43.1), so choose on price, context window or the category you care about most.

Which is cheaper, MiMo-V2.5 or Mistral Large 4?

MiMo-V2.5 is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.

Is MiMo-V2.5 or Mistral Large 4 better for coding?

Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 43.9 in the Noometry coding category.

Which has the bigger context window?

Both accept 1.05M tokens.

How many benchmarks do MiMo-V2.5 and Mistral Large 4 share?

13 benchmarks have published results for both models. MiMo-V2.5 has 23 scored results on Noometry and Mistral Large 4 has 15.

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