Model comparison
MiMo-V2.5-Pro vs Qwen3-Coder 480B-A35B Instruct
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 38.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. MiMo-V2.5-Pro scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 35.5.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 45.2 | 38.1 |
| Released | 2026-04-22 | 2025-04 |
| Weights | Open | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.43 | $1.50 |
| Output $ / M tokens | $0.87 | $7.50 |
| Results tracked | 27 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 47.4 (#60), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1479 | 1275 |
| LMArena Coding | 1503 | 1412 |
| ALE-Bench | 899.8 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 50.2% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
MiMo-V2.5-Pro: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 26.8 (#130), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1488 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 34.4% | — |
| CritPt | 4% | — |
| DTBench | 84.5% | — |
| LMCA | 29.5% | — |
Math MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 40.0 (#96), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1481 | 1365 |
| ProofBench | 22% | — |
Knowledge MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 42.2 (#98), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1503 | 1338 |
Multilingual MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 55.1 (#34), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1449 | 1346 |
| LMArena Chinese | 1507 | 1357 |
| LMArena French | 1488 | 1398 |
| LMArena German | 1458 | 1325 |
| LMArena Japanese | 1412 | 1310 |
| LMArena Korean | 1437 | 1305 |
| LMArena Russian | 1450 | 1366 |
| LMArena Spanish | 1471 | 1360 |
Instruction Following MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 77.5 (#21), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1477 | 1355 |
Long Context MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 45.4 (#37), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1483 | 1378 |
Writing & Preference MiMo-V2.5-Pro leads
MiMo-V2.5-Pro: 65.3 (#49), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | MiMo-V2.5-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1465 | 1357 |
| LMArena Creative Writing | 1440 | 1333 |
| LMArena Multi-Turn | 1477 | 1365 |
| EQ-Bench Creative Writing | 1493 | — |
| EQ-Bench 4 | 1208 | — |
Frequently asked questions
Is MiMo-V2.5-Pro better than Qwen3-Coder 480B-A35B Instruct?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 38.1 on the Noometry Index.
Which is cheaper, MiMo-V2.5-Pro or Qwen3-Coder 480B-A35B Instruct?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is MiMo-V2.5-Pro or Qwen3-Coder 480B-A35B Instruct better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 35.5 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-Coder 480B-A35B Instruct share?
19 benchmarks have published results for both models. MiMo-V2.5-Pro has 27 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.