Model comparison
MiMo-V2.6-Flash vs Mistral Medium 3.1
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where MiMo-V2.6-Flash leads 29.6 to 10.1.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.40 / $2 for Mistral Medium 3.1.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 131K.
- MiMo-V2.6-Flash has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2.6-Flash | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 44.4 | 31.5 |
| Released | 2026-09-22 | — |
| Weights | Open | Proprietary |
| Context window | 1.05M | 131K |
| Max output | 131K | 105K |
| Input $ / M tokens | $0.14 | $0.40 |
| Output $ / M tokens | $0.28 | $2 |
| Results tracked | 13 | 3 |
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Category by category
Coding Not comparable
MiMo-V2.6-Flash: 44.3 (#68), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Coding | 1516 | — |
Reasoning MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 29.6 (#82), Mistral Medium 3.1: 10.1 (#336)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1481 | — |
Math Not comparable
MiMo-V2.6-Flash: 37.4 (#97), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1477 | — |
Knowledge Not comparable
MiMo-V2.6-Flash: 42.0 (#91), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Expert | 1516 | — |
Multimodal Not comparable
MiMo-V2.6-Flash: 40.2 (#39), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Vision | 1266 | — |
Multilingual Not comparable
MiMo-V2.6-Flash: 54.6 (#41), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1439 | — |
| LMArena Chinese | 1501 | — |
| LMArena Russian | 1424 | — |
Instruction Following Not comparable
MiMo-V2.6-Flash: 77.0 (#33), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1463 | — |
Long Context Not comparable
MiMo-V2.6-Flash: 44.8 (#52), Mistral Medium 3.1: —
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1465 | — |
Writing & Preference MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 63.9 (#61), Mistral Medium 3.1: 55.6 (#140)
| Benchmark | MiMo-V2.6-Flash | Mistral Medium 3.1 |
|---|---|---|
| LMArena Text | 1459 | — |
| LMArena Creative Writing | 1408 | — |
| EQ-Bench Creative Writing | — | 1476 |
| LMArena Multi-Turn | 1460 | — |
Frequently asked questions
Is MiMo-V2.6-Flash better than Mistral Medium 3.1?
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 31.5 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Flash or Mistral Medium 3.1?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Medium 3.1 lists at $0.40 and $2.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 131K.
How many benchmarks do MiMo-V2.6-Flash and Mistral Medium 3.1 share?
0 benchmarks have published results for both models. MiMo-V2.6-Flash has 13 scored results on Noometry and Mistral Medium 3.1 has 3.