Model comparison
MiMo-V2.5-Pro vs MiniMax-M3
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 43.5 on the Noometry Index.
Last verified . 26 shared benchmarks.
MiniMaxSummary
- They share 26 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 5 categories and MiniMax-M3 in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 41.5.
- The biggest single-benchmark swing is NYT Connections (extended): 34.4% for MiMo-V2.5-Pro and 65.1% for MiniMax-M3.
- Both cost about the same: $0.43 input and $0.87 output per million tokens.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| MiMo-V2.5-Pro | MiniMax-M3 | |
|---|---|---|
| Provider | Xiaomi | MiniMax |
| Noometry Index | 44.8 | 43.5 |
| Released | 2026-04-22 | 2026-06-01 |
| Weights | Open | Open |
| Context window | 1.05M | 1M |
| Max output | 131K | 512K |
| Input $ / M tokens | $0.43 | $0.30 |
| Output $ / M tokens | $0.87 | $1.20 |
| Results tracked | 27 | 41 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.0 (#58), MiniMax-M3: 41.5 (#111)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena WebDev | 1477 | 1482 |
| SciCode | 50.2% | 47.1% |
| LMArena Coding | 1502 | 1470 |
| ALE-Bench | 899.8 | 640.02 |
| FrontierCode | — | 14.7% |
Agentic & Tool Use Not comparable
MiMo-V2.5-Pro: —, MiniMax-M3: 22.5 (#121)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |
Reasoning MiniMax-M3 leads
MiMo-V2.5-Pro: 25.9 (#124), MiniMax-M3: 29.3 (#83)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| NYT Connections (extended) | 34.4% | 65.1% |
| CritPt | 4% | 3.7% |
| LMArena Hard Prompts | 1487 | 1447 |
| DTBench | 84.5% | 78.9% |
| LMCA | 29.5% | 33.7% |
| SimpleBench | — | 45.8% |
| Chess Puzzles | — | 14% |
| Mystery Game Puzzles | — | 8% |
| Surface Evolver Bench | — | 55% |
| Epoch Capabilities Index | — | 147 |
| ForecastBench | — | 61.4 |
Math Too close to call
MiMo-V2.5-Pro: 38.6 (#84), MiniMax-M3: 39.1 (#83)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| ProofBench | 22% | 18% |
| LMArena Math | 1480 | 1432 |
| OTIS Mock AIME 2024-2025 | — | 71.1% |
Knowledge MiniMax-M3 leads
MiMo-V2.5-Pro: 41.5 (#100), MiniMax-M3: 58.4 (#32)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Expert | 1501 | 1462 |
| GPQA Diamond | — | 90.9% |
Multimodal Not comparable
MiMo-V2.5-Pro: —, MiniMax-M3: 39.5 (#45)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Vision | — | 1254 |
| LMArena Document | — | 1435 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.3 (#33), MiniMax-M3: 53.2 (#70)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1449 | 1420 |
| LMArena Chinese | 1507 | 1465 |
| LMArena French | 1489 | 1445 |
| LMArena German | 1455 | 1424 |
| LMArena Japanese | 1418 | 1381 |
| LMArena Korean | 1436 | 1372 |
| LMArena Russian | 1450 | 1430 |
| LMArena Spanish | 1470 | 1431 |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.6 (#21), MiniMax-M3: 75.7 (#56)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1433 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#38), MiniMax-M3: 44.2 (#68)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1482 | 1445 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.5 (#47), MiniMax-M3: 62.3 (#79)
| Benchmark | MiMo-V2.5-Pro | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1465 | 1433 |
| LMArena Creative Writing | 1440 | 1405 |
| EQ-Bench 4 | 1208 | 1150 |
| LMArena Multi-Turn | 1477 | 1441 |
| EQ-Bench Creative Writing | 1493 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than MiniMax-M3?
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 43.5 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or MiniMax-M3?
MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is MiMo-V2.5-Pro or MiniMax-M3 better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 41.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 1M.
How many benchmarks do MiMo-V2.5-Pro and MiniMax-M3 share?
26 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and MiniMax-M3 has 41.