Model comparison
MiMo-V2.5-Pro vs Mixtral 8x7B
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 27.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AISummary
- They share 18 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2.5-Pro leads 42.2 to 11.0.
- The biggest single-benchmark swing is DTBench: 84.5% for MiMo-V2.5-Pro and 49.6% for Mixtral 8x7B.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 32K.
Side by side
| MiMo-V2.5-Pro | Mixtral 8x7B | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 45.2 | 27.1 |
| Released | 2026-04-22 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 1.05M | 32K |
| Max output | 131K | 32K |
| Input $ / M tokens | $0.43 | $0.70 |
| Output $ / M tokens | $0.87 | $0.70 |
| Results tracked | 27 | 38 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Mixtral 8x7B: 32.8 (#269)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1503 | 1126 |
| LMArena WebDev | 1479 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Mixtral 8x7B: 18.2 (#285)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1488 | 1115 |
| DTBench | 84.5% | 49.6% |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| LMCA | 29.5% | — |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 40.0 (#96), Mixtral 8x7B: 18.8 (#289)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1481 | 1147 |
| ProofBench | 22% | — |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Mixtral 8x7B: 11.0 (#301)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Expert | 1503 | 1088 |
| GPQA Diamond | — | 30.6% |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Mixtral 8x7B: 29.6 (#266)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1449 | 1077 |
| LMArena Chinese | 1507 | 1055 |
| LMArena French | 1488 | 1166 |
| LMArena German | 1458 | 1114 |
| LMArena Japanese | 1412 | 931 |
| LMArena Korean | 1437 | 968 |
| LMArena Russian | 1450 | 1090 |
| LMArena Spanish | 1471 | 1111 |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Mixtral 8x7B: 51.0 (#297)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1477 | 1109 |
| IFEval | — | 57.5% |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Mixtral 8x7B: 33.4 (#260)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1483 | 1103 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Mixtral 8x7B: 34.2 (#270)
| Benchmark | MiMo-V2.5-Pro | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1465 | 1132 |
| LMArena Creative Writing | 1440 | 1109 |
| LMArena Multi-Turn | 1477 | 1115 |
| EQ-Bench Creative Writing | 1493 | — |
| WildBench | — | 67.3% |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Mixtral 8x7B?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 27.1 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or Mixtral 8x7B?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is MiMo-V2.5-Pro or Mixtral 8x7B better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 32K.
How many benchmarks do MiMo-V2.5-Pro and Mixtral 8x7B share?
18 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mixtral 8x7B has 38.