Model comparison

Devstral Small 2505 vs MiMo-V2.5

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 34.3 on the Noometry Index.

Last verified . 2 shared benchmarks.

Devstral Small 2505 Mistral AI

34.3

Rank #233 Reported

MiMo-V2.5 Xiaomi

43.4

Rank #93 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 0 categories and MiMo-V2.5 in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.5 leads 28.6 to 19.7.
  • The biggest single-benchmark swing is SciCode: 28.8% for Devstral Small 2505 and 43.1% for MiMo-V2.5.
  • Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.5.
  • MiMo-V2.5 accepts more context: 1.05M tokens versus 128K.

Side by side

Devstral Small 2505 and MiMo-V2.5 specifications
Devstral Small 2505MiMo-V2.5
ProviderMistral AIXiaomi
Noometry Index34.343.4
Released2025-05-072026-04-22
WeightsOpenOpen
Context window128K1.05M
Max output128K131K
Input $ / M tokens$0.10$0.14
Output $ / M tokens$0.30$0.28
Results tracked423

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Category by category

Coding MiMo-V2.5 leads

Devstral Small 2505: 38.9 (#166), MiMo-V2.5: 43.9 (#81)

Coding benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
SciCode28.8%43.1%
SWE-bench Verified (bash only)56.4%—
LMArena WebDev—1438
LMArena Coding—1469
ALE-Bench—513.95

Reasoning MiMo-V2.5 leads

Devstral Small 2505: 19.7 (#252), MiMo-V2.5: 28.6 (#101)

Reasoning benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
CritPt0%3.7%
Kagi LLM Benchmark37.7%—
LMArena Hard Prompts—1450

Math Not comparable

Devstral Small 2505: —, MiMo-V2.5: 36.8 (#163)

Math benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
ProofBench—16%
LMArena Math—1436

Knowledge Not comparable

Devstral Small 2505: —, MiMo-V2.5: 40.8 (#115)

Knowledge benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Expert—1460

Multimodal Not comparable

Devstral Small 2505: —, MiMo-V2.5: 39.8 (#54)

Multimodal benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Vision—1247

Multilingual Not comparable

Devstral Small 2505: —, MiMo-V2.5: 51.9 (#99)

Multilingual benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Non-English—1404
LMArena Chinese—1468
LMArena French—1447
LMArena German—1421
LMArena Japanese—1306
LMArena Korean—1363
LMArena Russian—1395
LMArena Spanish—1416

Instruction Following Not comparable

Devstral Small 2505: —, MiMo-V2.5: 75.5 (#60)

Instruction Following benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Instruction Following—1434

Long Context Not comparable

Devstral Small 2505: —, MiMo-V2.5: 44.2 (#73)

Long Context benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Longer Query—1445

Writing & Preference Not comparable

Devstral Small 2505: —, MiMo-V2.5: 61.6 (#86)

Writing & Preference benchmarks
BenchmarkDevstral Small 2505MiMo-V2.5
LMArena Text—1428
LMArena Creative Writing—1393
LMArena Multi-Turn—1445

Frequently asked questions

Is Devstral Small 2505 better than MiMo-V2.5?

MiMo-V2.5 is the stronger model overall, scoring 43.4 to 34.3 on the Noometry Index.

Which is cheaper, Devstral Small 2505 or MiMo-V2.5?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; MiMo-V2.5 lists at $0.14 and $0.28.

Is Devstral Small 2505 or MiMo-V2.5 better for coding?

MiMo-V2.5 scores higher on coding benchmarks: 43.9 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.5 does, with 1.05M tokens against 128K.

How many benchmarks do Devstral Small 2505 and MiMo-V2.5 share?

2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and MiMo-V2.5 has 23.

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