Model comparison
MiMo-V2.6-Flash vs Mixtral 8x22B
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 27.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Mistral AISummary
- They share 14 benchmarks with published results for both. MiMo-V2.6-Flash scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Flash leads 53.4 to 24.2.
- MiMo-V2.6-Flash is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 64K.
Side by side
| MiMo-V2.6-Flash | Mixtral 8x22B | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 48.5 | 27.1 |
| Released | 2026-09-21 | 2024-04-17 |
| Weights | Open | Open |
| Context window | 1.05M | 64K |
| Max output | 131K | 64K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 19 | 34 |
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), Mixtral 8x22B: 24.2 (#329)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1504 | 1166 |
| LMArena WebDev | 1637 | — |
| SciCode | 51.3% | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
MiMo-V2.6-Flash: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 36.5 (#66), Mixtral 8x22B: 19.9 (#248)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1482 | 1150 |
| CritPt | 12% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 51.9 (#52), Mixtral 8x22B: 22.9 (#275)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1468 | 1184 |
| ProofBench | 63% | — |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 42.2 (#99), Mixtral 8x22B: 15.1 (#293)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1501 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
MiMo-V2.6-Flash: 40.5 (#47), Mixtral 8x22B: —
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1259 | — |
Multilingual MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 54.0 (#51), Mixtral 8x22B: 32.8 (#255)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1434 | 1128 |
| LMArena Chinese | 1511 | 1116 |
| LMArena French | 1475 | 1166 |
| LMArena Russian | 1409 | 1158 |
| LMArena Spanish | 1456 | 1151 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
Instruction Following MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 76.8 (#35), Mixtral 8x22B: 57.7 (#266)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1463 | 1147 |
| IFEval | — | 72.4% |
Long Context MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 44.8 (#57), Mixtral 8x22B: 34.7 (#247)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1463 | 1144 |
Writing & Preference MiMo-V2.6-Flash leads
MiMo-V2.6-Flash: 63.1 (#67), Mixtral 8x22B: 36.9 (#262)
| Benchmark | MiMo-V2.6-Flash | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1455 | 1162 |
| LMArena Creative Writing | 1400 | 1141 |
| LMArena Multi-Turn | 1451 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is MiMo-V2.6-Flash better than Mixtral 8x22B?
MiMo-V2.6-Flash is the stronger model overall, scoring 48.5 to 27.1 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Flash or Mixtral 8x22B?
MiMo-V2.6-Flash is cheaper. It lists at $0.14 per million input tokens and $0.28 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is MiMo-V2.6-Flash or Mixtral 8x22B better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 53.4 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 64K.
How many benchmarks do MiMo-V2.6-Flash and Mixtral 8x22B share?
14 benchmarks have published results for both models. MiMo-V2.6-Flash has 19 scored results on Noometry and Mixtral 8x22B has 34.