Model comparison
MiMo-V2-Pro vs Mixtral 8x22B
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 26.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AISummary
- They share 17 benchmarks with published results for both. MiMo-V2-Pro scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.9 to 37.1.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Mixtral 8x22B | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 42.4 | 26.7 |
| Released | 2026-03-18 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 64K |
| Max output | 131K | 64K |
| Input $ / M tokens | $0.43 | $2 |
| Output $ / M tokens | $0.87 | $6 |
| Results tracked | 23 | 34 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.4 (#76), Mixtral 8x22B: 23.8 (#324)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1476 | 1166 |
| LMArena WebDev | 1433 | — |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| ALE-Bench | 785.17 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Mixtral 8x22B: 22.8 (#119)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 21.3 (#200), Mixtral 8x22B: 19.1 (#246)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1457 | 1150 |
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122 |
| ForecastBench | — | 56.3 |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 36.7 (#104), Mixtral 8x22B: 21.2 (#271)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1447 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 40.8 (#106), Mixtral 8x22B: 15.1 (#288)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1479 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multilingual MiMo-V2-Pro leads
MiMo-V2-Pro: 52.9 (#77), Mixtral 8x22B: 32.9 (#250)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1416 | 1128 |
| LMArena Chinese | 1455 | 1116 |
| LMArena French | 1470 | 1165 |
| LMArena German | 1417 | 1141 |
| LMArena Japanese | 1366 | 1037 |
| LMArena Korean | 1401 | 1056 |
| LMArena Russian | 1427 | 1158 |
| LMArena Spanish | 1458 | 1150 |
Instruction Following MiMo-V2-Pro leads
MiMo-V2-Pro: 76.2 (#46), Mixtral 8x22B: 57.9 (#261)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1444 | 1147 |
| IFEval | — | 72.4% |
Long Context MiMo-V2-Pro leads
MiMo-V2-Pro: 41.5 (#133), Mixtral 8x22B: 34.6 (#242)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1455 | 1144 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference MiMo-V2-Pro leads
MiMo-V2-Pro: 62.9 (#67), Mixtral 8x22B: 37.1 (#257)
| Benchmark | MiMo-V2-Pro | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1436 | 1162 |
| LMArena Creative Writing | 1415 | 1141 |
| LMArena Multi-Turn | 1456 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is MiMo-V2-Pro better than Mixtral 8x22B?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 26.7 on the Noometry Index.
Which is cheaper, MiMo-V2-Pro or Mixtral 8x22B?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Is MiMo-V2-Pro or Mixtral 8x22B better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 23.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 64K.
How many benchmarks do MiMo-V2-Pro and Mixtral 8x22B share?
17 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Mixtral 8x22B has 34.