Model comparison
Devstral Small 2505 vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where MiMo-V2-Pro leads 43.8 to 38.9.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.
Side by side
| Devstral Small 2505 | MiMo-V2-Pro | |
|---|---|---|
| Provider | Mistral AI | Xiaomi |
| Noometry Index | 34.3 | 43.0 |
| Released | 2025-05-07 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.10 | $0.43 |
| Output $ / M tokens | $0.30 | $0.87 |
| Results tracked | 4 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Devstral Small 2505: 38.9 (#166), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| LMArena WebDev | — | 1433 |
| SciCode | 28.8% | — |
| LMArena Coding | — | 1476 |
| ALE-Bench | — | 785.17 |
Reasoning MiMo-V2-Pro leads
Devstral Small 2505: 19.7 (#252), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 25.8% |
| CritPt | 0% | — |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
Math Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | — | 1416 |
| LMArena Chinese | — | 1456 |
| LMArena French | — | 1469 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1400 |
| LMArena Russian | — | 1427 |
| LMArena Spanish | — | 1457 |
Instruction Following Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Devstral Small 2505: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Devstral Small 2505 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Devstral Small 2505 better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 34.3 on the Noometry Index. Devstral Small 2505 costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or MiMo-V2-Pro?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is Devstral Small 2505 or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do Devstral Small 2505 and MiMo-V2-Pro share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and MiMo-V2-Pro has 23.