Model comparison
Codestral vs MiMo-V2-Omni
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in coding, where MiMo-V2-Omni leads 43.3 to 27.3.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.30 / $0.90 for Codestral.
- MiMo-V2-Omni accepts more context: 262K tokens versus 256K.
Side by side
| Codestral | MiMo-V2-Omni | |
|---|---|---|
| Provider | Mistral AI | Xiaomi |
| Noometry Index | 30.6 | 43.6 |
| Released | 2024-05-29 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 262K |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.30 | $0.14 |
| Output $ / M tokens | $0.90 | $0.28 |
| Results tracked | 7 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2-Omni leads
Codestral: 27.3 (#321), MiMo-V2-Omni: 43.3 (#89)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1466 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning MiMo-V2-Omni leads
Codestral: 19.8 (#251), MiMo-V2-Omni: 29.7 (#88)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1445 |
Math Not comparable
Codestral: —, MiMo-V2-Omni: 39.1 (#115)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Math | — | 1430 |
Knowledge Not comparable
Codestral: —, MiMo-V2-Omni: 40.5 (#118)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Expert | — | 1449 |
Multimodal Not comparable
Codestral: —, MiMo-V2-Omni: 38.6 (#63)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Vision | — | 1228 |
Multilingual Not comparable
Codestral: —, MiMo-V2-Omni: 51.8 (#102)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Non-English | — | 1404 |
| LMArena Chinese | — | 1465 |
| LMArena French | — | 1447 |
| LMArena German | — | 1399 |
| LMArena Japanese | — | 1317 |
| LMArena Korean | — | 1355 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1434 |
Instruction Following Not comparable
Codestral: —, MiMo-V2-Omni: 75.2 (#66)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Instruction Following | — | 1428 |
Long Context Not comparable
Codestral: —, MiMo-V2-Omni: 44.1 (#76)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Not comparable
Codestral: —, MiMo-V2-Omni: 61.4 (#87)
| Benchmark | Codestral | MiMo-V2-Omni |
|---|---|---|
| LMArena Text | — | 1423 |
| LMArena Creative Writing | — | 1392 |
| LMArena Multi-Turn | — | 1445 |
Frequently asked questions
Is Codestral better than MiMo-V2-Omni?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 30.6 on the Noometry Index.
Which is cheaper, Codestral or MiMo-V2-Omni?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Codestral lists at $0.30 and $0.90.
Is Codestral or MiMo-V2-Omni better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 27.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 256K.
How many benchmarks do Codestral and MiMo-V2-Omni share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and MiMo-V2-Omni has 18.