Model comparison
MiMo-V2.6-Flash vs Mistral Medium
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 36.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. MiMo-V2.6-Flash scores higher in 9 categories and Mistral Medium in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Flash leads 51.9 to 28.1.
- The biggest single-benchmark swing is ProofBench: 63% for MiMo-V2.6-Flash and 9% for Mistral Medium.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.6-Flash | Mistral Medium | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 48.5 | 36.3 |
| Released | 2026-09-21 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.14 | $1.50 |
| Output $ / M tokens | $0.28 | $7.50 |
| Results tracked | 19 | 36 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 53.4 (#30), Mistral Medium: 34.2 (#243)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| SciCode | 51.3% | 40.2% |
| LMArena Coding | 1504 | 1434 |
| FrontierCode | — | 8% |
| LMArena WebDev | 1637 | — |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
MiMo-V2.6-Flash: —, Mistral Medium: 28.3 (#90)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 36.5 (#66), Mistral Medium: 24.0 (#167)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| CritPt | 12% | 0% |
| LMArena Hard Prompts | 1482 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 51.9 (#52), Mistral Medium: 28.1 (#245)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| ProofBench | 63% | 9% |
| LMArena Math | 1468 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 42.2 (#99), Mistral Medium: 25.0 (#265)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Expert | 1501 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 40.5 (#47), Mistral Medium: 35.3 (#88)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Vision | 1259 | 1172 |
Multilingual MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 54.0 (#51), Mistral Medium: 52.1 (#91)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1434 | 1408 |
| LMArena Chinese | 1511 | 1447 |
| LMArena French | 1475 | 1459 |
| LMArena Russian | 1409 | 1411 |
| LMArena Spanish | 1456 | 1433 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
Instruction Following MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 76.8 (#35), Mistral Medium: 73.7 (#116)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1463 | 1398 |
Long Context MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 44.8 (#57), Mistral Medium: 42.9 (#114)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1463 | 1406 |
Writing & Preference MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 63.1 (#67), Mistral Medium: 60.0 (#103)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium |
|---|---|---|
| LMArena Text | 1455 | 1424 |
| LMArena Creative Writing | 1400 | 1391 |
| LMArena Multi-Turn | 1451 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is MiMo-V2.6-Flash better than Mistral Medium?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 36.3 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Flash or Mistral Medium?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is MiMo-V2.6-Flash or Mistral Medium better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2.6-Flash and Mistral Medium share?
18 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Mistral Medium has 36.