Model comparison
MiMo-V2.6-Pro vs Mistral Medium
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 36.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 10 categories and Mistral Medium in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 28.1.
- The biggest single-benchmark swing is ProofBench: 70% for MiMo-V2.6-Pro and 9% for Mistral Medium.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.6-Pro | Mistral Medium | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 50.3 | 36.3 |
| Released | 2026-09-21 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.43 | $1.50 |
| Output $ / M tokens | $0.87 | $7.50 |
| Results tracked | 19 | 36 |
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Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), Mistral Medium: 34.2 (#243)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| SciCode | 60.9% | 40.2% |
| LMArena Coding | 1534 | 1434 |
| ALE-Bench | 1,158 | 763.98 |
| FrontierCode | — | 8% |
| LMArena WebDev | 1629 | — |
| WeirdML | — | 43.7% |
Agentic & Tool Use MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 37.5 (#35), Mistral Medium: 28.3 (#90)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| APEX-Agents | 59.5% | — |
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Mistral Medium: 24.0 (#167)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| CritPt | 26.6% | 0% |
| LMArena Hard Prompts | 1512 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), Mistral Medium: 28.1 (#245)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| ProofBench | 70% | 9% |
| LMArena Math | 1494 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), Mistral Medium: 25.0 (#265)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Expert | 1543 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 40.8 (#43), Mistral Medium: 35.3 (#88)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Vision | 1264 | 1172 |
Multilingual MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 56.9 (#14), Mistral Medium: 52.1 (#91)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1474 | 1408 |
| LMArena Chinese | 1529 | 1447 |
| LMArena Russian | 1480 | 1411 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Spanish | — | 1433 |
Instruction Following MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 78.2 (#12), Mistral Medium: 73.7 (#116)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1493 | 1398 |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), Mistral Medium: 42.9 (#114)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1501 | 1406 |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), Mistral Medium: 60.0 (#103)
| Benchmark | MiMo-V2.6-Pro | Mistral Medium |
|---|---|---|
| LMArena Text | 1492 | 1424 |
| LMArena Creative Writing | 1468 | 1391 |
| LMArena Multi-Turn | 1464 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is MiMo-V2.6-Pro better than Mistral Medium?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 36.3 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Pro or Mistral Medium?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is MiMo-V2.6-Pro or Mistral Medium better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2.6-Pro and Mistral Medium share?
17 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mistral Medium has 36.