Model comparison
MiMo-V2-Pro vs Mistral Nemo
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 26.4 on the Noometry Index. Mistral Nemo costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.8 to 28.5.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Mistral Nemo | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.0 | 26.4 |
| Released | 2026-03-18 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 128K |
| Max output | 131K | 128K |
| Input $ / M tokens | $0.43 | $0.15 |
| Output $ / M tokens | $0.87 | $0.15 |
| Results tracked | 23 | 10 |
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Category by category
Coding Not comparable
MiMo-V2-Pro: 43.8 (#83), Mistral Nemo: —
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| LMArena WebDev | 1433 | — |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Mistral Nemo: 23.5 (#125)
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 22.1 (#206), Mistral Nemo: 20.7 (#232)
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Mistral Nemo: 25.5 (#268)
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| LMArena Math | 1447 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), Mistral Nemo: 12.3 (#298)
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| LMArena Expert | 1478 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), Mistral Nemo: —
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| 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
MiMo-V2-Pro: 76.0 (#49), Mistral Nemo: —
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Mistral Nemo: —
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.8 (#70), Mistral Nemo: 28.5 (#296)
| Benchmark | MiMo-V2-Pro | Mistral Nemo |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| EQ-Bench Creative Writing | — | 881 |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Mistral Nemo?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 26.4 on the Noometry Index. Mistral Nemo costs 3.6× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Pro 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-Pro lists at $0.43 and $0.87.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 128K.
How many benchmarks do MiMo-V2-Pro and Mistral Nemo share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Mistral Nemo has 10.