Model comparison
MiMo-V2-Omni vs Mixtral 8x22B
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. MiMo-V2-Omni scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2-Omni leads 40.5 to 15.1.
- MiMo-V2-Omni is cheaper at $0.14 / $0.28 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- MiMo-V2-Omni accepts more context: 262K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Omni | Mixtral 8x22B | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 43.6 | 27.1 |
| Released | 2026-03-18 | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 262K | 64K |
| Max output | 131K | 64K |
| Input $ / M tokens | $0.14 | $2 |
| Output $ / M tokens | $0.28 | $6 |
| Results tracked | 18 | 34 |
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Category by category
Coding MiMo-V2-Omni leads
MiMo-V2-Omni: 43.3 (#89), Mixtral 8x22B: 24.2 (#329)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Coding | 1466 | 1166 |
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
MiMo-V2-Omni: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning MiMo-V2-Omni leads
MiMo-V2-Omni: 29.7 (#88), Mixtral 8x22B: 19.9 (#248)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math MiMo-V2-Omni leads
MiMo-V2-Omni: 39.1 (#115), Mixtral 8x22B: 22.9 (#275)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Math | 1430 | 1184 |
| Omni-MATH | — | 16.3% |
| MATH Level 5 | — | 24.2% |
Knowledge MiMo-V2-Omni leads
MiMo-V2-Omni: 40.5 (#118), Mixtral 8x22B: 15.1 (#293)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Expert | 1449 | 1113 |
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| MMLU | — | 77.8% |
Multimodal Not comparable
MiMo-V2-Omni: 38.6 (#63), Mixtral 8x22B: —
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Vision | 1228 | — |
Multilingual MiMo-V2-Omni leads
MiMo-V2-Omni: 51.8 (#102), Mixtral 8x22B: 32.8 (#255)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | 1404 | 1128 |
| LMArena Chinese | 1465 | 1116 |
| LMArena French | 1447 | 1166 |
| LMArena German | 1399 | 1141 |
| LMArena Japanese | 1317 | 1037 |
| LMArena Korean | 1355 | 1057 |
| LMArena Russian | 1412 | 1158 |
| LMArena Spanish | 1434 | 1151 |
Instruction Following MiMo-V2-Omni leads
MiMo-V2-Omni: 75.2 (#66), Mixtral 8x22B: 57.7 (#266)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Instruction Following | 1428 | 1147 |
| IFEval | — | 72.4% |
Long Context MiMo-V2-Omni leads
MiMo-V2-Omni: 44.1 (#76), Mixtral 8x22B: 34.7 (#247)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | 1442 | 1144 |
Writing & Preference MiMo-V2-Omni leads
MiMo-V2-Omni: 61.4 (#87), Mixtral 8x22B: 36.9 (#262)
| Benchmark | MiMo-V2-Omni | Mixtral 8x22B |
|---|---|---|
| LMArena Text | 1423 | 1162 |
| LMArena Creative Writing | 1392 | 1141 |
| LMArena Multi-Turn | 1445 | 1130 |
| WildBench | — | 71.1% |
Frequently asked questions
Is MiMo-V2-Omni better than Mixtral 8x22B?
MiMo-V2-Omni is the stronger model overall, scoring 43.6 to 27.1 on the Noometry Index.
Which is cheaper, MiMo-V2-Omni or Mixtral 8x22B?
MiMo-V2-Omni 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-Omni or Mixtral 8x22B better for coding?
MiMo-V2-Omni scores higher on coding benchmarks: 43.3 versus 24.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Omni does, with 262K tokens against 64K.
How many benchmarks do MiMo-V2-Omni and Mixtral 8x22B share?
17 benchmarks have published results for both models. MiMo-V2-Omni has 18 scored results on Noometry and Mixtral 8x22B has 34.