Model comparison
MiMo-V2-Omni vs Mistral Medium 3.1
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where MiMo-V2-Omni leads 29.7 to 10.6.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- MiMo-V2-Omni accepts more context: 262K tokens versus 131K.
Side by side
| MiMo-V2-Omni | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.6 | 31.9 |
| Released | 2026-03-18 | — |
| Weights | Proprietary | Proprietary |
| Context window | 262K | 131K |
| Max output | 131K | 105K |
| Input $ / M tokens | $0.14 | $0.40 |
| Output $ / M tokens | $0.28 | $2 |
| Results tracked | 18 | 3 |
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Category by category
Coding Not comparable
MiMo-V2-Omni: 43.3 (#89), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1466 | — |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1445 | — |
Math Not comparable
MiMo-V2-Omni: 39.1 (#115), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1430 | — |
Knowledge Not comparable
MiMo-V2-Omni: 40.5 (#118), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1449 | — |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| 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
MiMo-V2-Omni: 75.2 (#66), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), Mistral Medium 3.1: —
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Mistral Medium 3.1?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 31.9 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Mistral Medium 3.1?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 131K.
How many benchmarks do MiMo-V2-Omni and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Medium 3.1 has 3.