Model comparison
MiMo-V2-Omni vs Mistral Medium 3.5
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 39.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Mistral Medium 3.5 in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2-Omni leads 28.6 to 16.6.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 42.9 | 39.6 |
| Released | 2026-03-18 | — |
| Weights | Proprietary | Open |
| Context window | 262K | 262K |
| Max output | 131K | 210K |
| Input $ / M tokens | $0.14 | $1.50 |
| Output $ / M tokens | $0.28 | $7.50 |
| Results tracked | 18 | 22 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 42.7 (#87), Mistral Medium 3.5: 35.7 (#208)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1467 | 1461 |
| LMArena WebDev | — | 1263 |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 28.6 (#86), Mistral Medium 3.5: 16.6 (#290)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1436 |
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| Epoch Capabilities Index | — | 141.42 |
Math Too close to call
MiMo-V2-Omni: 36.4 (#112), Mistral Medium 3.5: 36.4 (#113)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1432 | 1432 |
Knowledge Too close to call
MiMo-V2-Omni: 39.9 (#114), Mistral Medium 3.5: 39.3 (#123)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1449 | 1431 |
Multimodal Too close to call
MiMo-V2-Omni: 37.9 (#62), Mistral Medium 3.5: 37.6 (#64)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1228 | 1222 |
Multilingual Too close to call
MiMo-V2-Omni: 52.0 (#97), Mistral Medium 3.5: 52.1 (#93)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1404 | 1405 |
| LMArena Chinese | 1469 | 1443 |
| LMArena French | 1448 | 1448 |
| LMArena German | 1398 | 1453 |
| LMArena Korean | 1355 | 1387 |
| LMArena Russian | 1412 | 1396 |
| LMArena Spanish | 1432 | 1406 |
| LMArena Japanese | 1318 | — |
Instruction Following Too close to call
MiMo-V2-Omni: 75.4 (#62), Mistral Medium 3.5: 74.7 (#87)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1428 | 1414 |
Long Context Too close to call
MiMo-V2-Omni: 44.1 (#72), Mistral Medium 3.5: 43.2 (#101)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1442 | 1414 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.6 (#83), Mistral Medium 3.5: 58.6 (#113)
| Benchmark | MiMo-V2-Omni | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1424 | 1421 |
| LMArena Creative Writing | 1393 | 1372 |
| LMArena Multi-Turn | 1446 | 1423 |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is MiMo-V2-Omni better than Mistral Medium 3.5?
MiMo-V2-Omni is the stronger model overall, scoring 42.9 to 39.6 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Mistral Medium 3.5?
MiMo-V2-Omni is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is MiMo-V2-Omni or Mistral Medium 3.5 better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 42.7 versus 35.7 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do MiMo-V2-Omni and Mistral Medium 3.5 share?
17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Medium 3.5 has 22.