Model comparison
MiMo-V2.5-Pro vs Qwen1.5 4b Chat
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 28.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Qwen1.5 4b Chat in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2.5-Pro leads 65.5 to 23.9.
Side by side
| MiMo-V2.5-Pro | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 44.8 | 28.3 |
| Released | 2026-04-22 | — |
| Weights | Open | Open |
| Context window | 1.05M | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.43 | — |
| Output $ / M tokens | $0.87 | — |
| Results tracked | 27 | 13 |
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Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.0 (#58), Qwen1.5 4b Chat: 28.6 (#305)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1502 | 999 |
| LMArena WebDev | 1477 | — |
| SciCode | 50.2% | — |
| ALE-Bench | 899.8 | — |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 25.9 (#124), Qwen1.5 4b Chat: 17.7 (#277)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1487 | 976 |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 38.6 (#84), Qwen1.5 4b Chat: 27.9 (#233)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1480 | 1026 |
| ProofBench | 22% | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 41.5 (#100), Qwen1.5 4b Chat: 26.2 (#252)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1501 | 980 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.3 (#33), Qwen1.5 4b Chat: 24.2 (#285)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1449 | 979 |
| LMArena Chinese | 1507 | 1024 |
| LMArena German | 1455 | 902 |
| LMArena Russian | 1450 | 952 |
| LMArena French | 1489 | — |
| LMArena Japanese | 1418 | — |
| LMArena Korean | 1436 | — |
| LMArena Spanish | 1470 | — |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.6 (#21), Qwen1.5 4b Chat: 49.3 (#295)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1477 | 979 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#38), Qwen1.5 4b Chat: 30.1 (#285)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1482 | 988 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.5 (#47), Qwen1.5 4b Chat: 23.9 (#304)
| Benchmark | MiMo-V2.5-Pro | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1465 | 997 |
| LMArena Creative Writing | 1440 | 969 |
| LMArena Multi-Turn | 1477 | 977 |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Qwen1.5 4b Chat?
MiMo-V2.5-Pro is the stronger model overall, scoring 44.8 to 28.3 on the Noometry Index.
Is MiMo-V2.5-Pro or Qwen1.5 4b Chat better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 28.6 in the Noometry coding category.
How many benchmarks do MiMo-V2.5-Pro and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Qwen1.5 4b Chat has 13.