Model comparison
MiMo-V2.5-Pro vs Qwen3.6 27B
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 42.2 on the Noometry Index.
Last verified . 5 shared benchmarks.
Alibaba (Qwen)Summary
- They share 5 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 3 categories and Qwen3.6 27B in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.3 to 50.3.
- The biggest single-benchmark swing is SciCode: 50.2% for MiMo-V2.5-Pro and 37.3% for Qwen3.6 27B.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.5-Pro | Qwen3.6 27B | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 45.2 | 42.2 |
| Released | 2026-04-22 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.43 | $0.60 |
| Output $ / M tokens | $0.87 | $3.60 |
| Results tracked | 27 | 11 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Qwen3.6 27B: 39.1 (#163)
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| SciCode | 50.2% | 37.3% |
| LMArena WebDev | 1479 | — |
| LMArena Coding | 1503 | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Qwen3.6 27B: 25.0 (#153)
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| CritPt | 4% | 0.9% |
| DTBench | 84.5% | 78.1% |
| LMCA | 29.5% | 34.5% |
| NYT Connections (extended) | 34.4% | — |
| Chess Puzzles | — | 22% |
| LMArena Hard Prompts | 1488 | — |
| Mystery Game Puzzles | — | 7% |
| Epoch Capabilities Index | — | 146.5 |
Math Qwen3.6 27B leads
MiMo-V2.5-Pro: 40.0 (#96), Qwen3.6 27B: 48.5 (#62)
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| ProofBench | 22% | — |
| LMArena Math | 1481 | — |
Knowledge Qwen3.6 27B leads
MiMo-V2.5-Pro: 42.2 (#98), Qwen3.6 27B: 52.4 (#63)
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| LMArena Expert | 1503 | — |
Multilingual Not comparable
MiMo-V2.5-Pro: 55.1 (#34), Qwen3.6 27B: —
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1449 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1488 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1412 | — |
| LMArena Korean | 1437 | — |
| LMArena Russian | 1450 | — |
| LMArena Spanish | 1471 | — |
Instruction Following Not comparable
MiMo-V2.5-Pro: 77.5 (#21), Qwen3.6 27B: —
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| LMArena Instruction Following | 1477 | — |
Long Context Not comparable
MiMo-V2.5-Pro: 45.4 (#37), Qwen3.6 27B: —
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1483 | — |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Qwen3.6 27B: 50.3 (#181)
| Benchmark | MiMo-V2.5-Pro | Qwen3.6 27B |
|---|---|---|
| EQ-Bench 4 | 1208 | 1026 |
| LMArena Text | 1465 | — |
| LMArena Creative Writing | 1440 | — |
| EQ-Bench Creative Writing | 1493 | — |
| LMArena Multi-Turn | 1477 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Qwen3.6 27B?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 42.2 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or Qwen3.6 27B?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.
Is MiMo-V2.5-Pro or Qwen3.6 27B better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2.5-Pro and Qwen3.6 27B share?
5 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Qwen3.6 27B has 11.