Model comparison
MiMo-V2.5-Pro vs Mistral Large 4
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Mistral AISummary
- They share 14 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 6 categories and Mistral Large 4 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2.5-Pro leads 42.2 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 27.4% for Mistral Large 4.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2.5-Pro | Mistral Large 4 | |
|---|---|---|
| Provider | Xiaomi | Mistral AI |
| Noometry Index | 45.2 | 43.1 |
| Released | 2026-04-22 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 131K | 262K |
| Input $ / M tokens | $0.43 | $0.68 |
| Output $ / M tokens | $0.87 | $2.09 |
| Results tracked | 27 | 15 |
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Category by category
Coding Mistral Large 4 leads
MiMo-V2.5-Pro: 47.4 (#60), Mistral Large 4: 48.6 (#57)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1479 | 1541 |
| LMArena Coding | 1503 | 1475 |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Mistral Large 4: 22.5 (#192)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| NYT Connections (extended) | 34.4% | 27.4% |
| LMArena Hard Prompts | 1488 | 1444 |
| CritPt | 4% | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math Too close to call
MiMo-V2.5-Pro: 40.0 (#96), Mistral Large 4: 40.4 (#91)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1481 | 1488 |
| ProofBench | 22% | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Mistral Large 4: 36.6 (#166)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1503 | 1447 |
| SimpleQA Verified | — | 20% |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Mistral Large 4: 52.6 (#82)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1449 | 1415 |
| LMArena Chinese | 1507 | 1491 |
| LMArena Russian | 1450 | 1414 |
| LMArena French | 1488 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1437 | — |
| LMArena Spanish | 1471 | — |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Mistral Large 4: 75.0 (#76)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1424 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Mistral Large 4: 43.6 (#89)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1483 | 1429 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Mistral Large 4: 60.4 (#97)
| Benchmark | MiMo-V2.5-Pro | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1465 | 1427 |
| LMArena Creative Writing | 1440 | 1361 |
| LMArena Multi-Turn | 1477 | 1424 |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Mistral Large 4?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 43.1 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or Mistral Large 4?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is MiMo-V2.5-Pro or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 47.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do MiMo-V2.5-Pro and Mistral Large 4 share?
14 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Mistral Large 4 has 15.