Model comparison
MiMo-V2.6-Pro vs Qwen3-Coder 480B-A35B Instruct
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.6-Pro leads 55.5 to 35.5.
- MiMo-V2.6-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-V2.6-Pro accepts more context: 1.05M tokens versus 262K.
Side by side
| MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 50.3 | 38.1 |
| Released | 2026-09-21 | 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 | 19 | 25 |
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Category by category
Coding MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 55.5 (#23), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1629 | 1275 |
| LMArena Coding | 1534 | 1412 |
| ALE-Bench | 1,158 | 461.45 |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 60.9% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| AlgoTune | — | 1.44 |
Agentic & Tool Use MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 37.5 (#35), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 59.5% | — |
Reasoning MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.1 (#50), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1512 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| CritPt | 26.6% | — |
Math MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 54.5 (#45), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1494 | 1365 |
| ProofBench | 70% | — |
Knowledge MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 43.5 (#92), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1543 | 1338 |
Multimodal Not comparable
MiMo-V2.6-Pro: 40.8 (#43), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1264 | — |
Multilingual MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 56.9 (#14), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1474 | 1346 |
| LMArena Chinese | 1529 | 1357 |
| LMArena Russian | 1480 | 1366 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Spanish | — | 1360 |
Instruction Following MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 78.2 (#12), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1493 | 1355 |
Long Context MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 46.0 (#27), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1501 | 1378 |
Writing & Preference MiMo-V2.6-Pro leads
MiMo-V2.6-Pro: 66.8 (#33), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | MiMo-V2.6-Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1492 | 1357 |
| LMArena Creative Writing | 1468 | 1333 |
| LMArena Multi-Turn | 1464 | 1365 |
Frequently asked questions
Is MiMo-V2.6-Pro better than Qwen3-Coder 480B-A35B Instruct?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 38.1 on the Noometry Index.
Which is cheaper, MiMo-V2.6-Pro or Qwen3-Coder 480B-A35B Instruct?
MiMo-V2.6-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-V2.6-Pro or Qwen3-Coder 480B-A35B Instruct better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2.6-Pro and Qwen3-Coder 480B-A35B Instruct share?
14 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.