Model comparison
MiMo-V2.6-Flash vs Mistral Small
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 33.4 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. MiMo-V2.6-Flash scores higher in 9 categories and Mistral Small 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 16.4.
- The biggest single-benchmark swing is SciCode: 51.3% for MiMo-V2.6-Flash and 26.5% for Mistral Small.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.6-Flash | Mistral Small | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 48.5 | 33.4 |
| Released | 2026-09-21 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 256K |
| Input $ / M tokens | $0.14 | $0.15 |
| Output $ / M tokens | $0.28 | $0.60 |
| Results tracked | 19 | 39 |
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Category by category
Coding MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 53.4 (#30), Mistral Small: 34.0 (#247)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| SciCode | 51.3% | 26.5% |
| LMArena Coding | 1504 | 1362 |
| LMArena WebDev | 1637 | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
MiMo-V2.6-Flash: —, Mistral Small: 28.1 (#93)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 36.5 (#66), Mistral Small: 19.8 (#250)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| CritPt | 12% | 0% |
| LMArena Hard Prompts | 1482 | 1335 |
| Kagi LLM Benchmark | — | 37.8% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 51.9 (#52), Mistral Small: 16.4 (#293)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Math | 1468 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| ProofBench | 63% | — |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 42.2 (#99), Mistral Small: 31.0 (#222)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Expert | 1501 | 1291 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 40.5 (#47), Mistral Small: 33.5 (#96)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Vision | 1259 | 1142 |
Multilingual MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 54.0 (#51), Mistral Small: 45.5 (#169)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Non-English | 1434 | 1315 |
| LMArena Chinese | 1511 | 1340 |
| LMArena French | 1475 | 1337 |
| LMArena Russian | 1409 | 1324 |
| LMArena Spanish | 1456 | 1346 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
Instruction Following MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 76.8 (#35), Mistral Small: 66.4 (#209)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1463 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 44.8 (#57), Mistral Small: 40.4 (#156)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1463 | 1327 |
Writing & Preference MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 63.1 (#67), Mistral Small: 52.5 (#171)
| Benchmark | MiMo-V2.6-Flash | Mistral Small |
|---|---|---|
| LMArena Text | 1455 | 1338 |
| LMArena Creative Writing | 1400 | 1305 |
| LMArena Multi-Turn | 1451 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is MiMo-V2.6-Flash better than Mistral Small?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 33.4 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Flash or Mistral Small?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Is MiMo-V2.6-Flash or Mistral Small better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 34.0 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 Small share?
17 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Mistral Small has 39.