Model comparison
MiMo-V2-Omni vs Mistral Nemo
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 26.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where MiMo-V2-Omni leads 61.4 to 28.5.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2-Omni.
- MiMo-V2-Omni accepts more context: 262K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Mistral Nemo | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.6 | 26.4 |
| Released | 2026-03-18 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 262K | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.14 | $0.15 |
| Output $ / M tokens | $0.28 | $0.15 |
| Results tracked | 18 | 10 |
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Category by category
Coding Not comparable
MiMo-V2-Omni: 43.3 (#89), Mistral Nemo: —
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Omni: —, Mistral Nemo: 23.5 (#125)
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Mistral Nemo: 20.7 (#232)
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Hard Prompts | 1445 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), Mistral Nemo: 25.5 (#268)
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Math | 1430 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Mistral Nemo: 12.3 (#298)
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1449 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Mistral Nemo: —
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual Not comparable
MiMo-V2-Omni: 51.8 (#102), Mistral Nemo: —
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| 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 Nemo: —
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1428 | — |
Long Context Not comparable
MiMo-V2-Omni: 44.1 (#76), Mistral Nemo: —
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1442 | — |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), Mistral Nemo: 28.5 (#296)
| Benchmark | MiMo-V2-Omni | Mistral Nemo |
|---|---|---|
| LMArena Text | 1423 | — |
| LMArena Creative Writing | 1392 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1445 | — |
Frequently asked questions
Is MiMo-V2-Omni better than Mistral Nemo?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 26.4 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; MiMo-V2-Omni lists at $0.14 and $0.28.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 128K.
How many benchmarks do MiMo-V2-Omni and Mistral Nemo share?
0 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mistral Nemo has 10.