Model comparison
Codestral vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and MiMo-V2-Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2-Pro leads 43.8 to 27.3.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 256K.
Side by side
| Codestral | MiMo-V2-Pro | |
|---|---|---|
| Provider | Mistral AI | Xiaomi |
| Noometry Index | 30.6 | 43.0 |
| Released | 2024-05-29 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.30 | $0.43 |
| Output $ / M tokens | $0.90 | $0.87 |
| Results tracked | 7 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Codestral: 27.3 (#321), MiMo-V2-Pro: 43.8 (#83)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| ALE-Bench | 137.78 | 785.17 |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1433 |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1476 |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning MiMo-V2-Pro leads
Codestral: 19.8 (#251), MiMo-V2-Pro: 22.1 (#206)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
| LMArena Hard Prompts | — | 1457 |
Math Not comparable
Codestral: —, MiMo-V2-Pro: 39.5 (#102)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | — | 1447 |
Knowledge Not comparable
Codestral: —, MiMo-V2-Pro: 41.4 (#111)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Codestral: —, MiMo-V2-Pro: 52.7 (#81)
| Benchmark | Codestral | 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
Codestral: —, MiMo-V2-Pro: 76.0 (#49)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | — | 1445 |
Long Context Not comparable
Codestral: —, MiMo-V2-Pro: 41.5 (#138)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
| LMArena Longer Query | — | 1455 |
Writing & Preference Not comparable
Codestral: —, MiMo-V2-Pro: 62.8 (#70)
| Benchmark | Codestral | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | — | 1436 |
| LMArena Creative Writing | — | 1415 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Codestral better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 30.6 on the Noometry Index.
Which is cheaper, Codestral or MiMo-V2-Pro?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is Codestral or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 256K.
How many benchmarks do Codestral and MiMo-V2-Pro share?
1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and MiMo-V2-Pro has 23.