Model comparison
MiMo-V2-Pro vs Qwen3 Coder Next
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 1.9× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where MiMo-V2-Pro leads 43.8 to 36.3.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Qwen3 Coder Next | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.0 | 34.3 |
| Released | 2026-03-18 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.43 | $0.12 |
| Output $ / M tokens | $0.87 | $0.80 |
| Results tracked | 23 | 3 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena WebDev | 1433 | — |
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Reasoning Too close to call
MiMo-V2-Pro: 22.1 (#206), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| CritPt | — | 0% |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
Math Not comparable
MiMo-V2-Pro: 39.5 (#102), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1447 | — |
Knowledge Not comparable
MiMo-V2-Pro: 41.4 (#111), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1478 | — |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1416 | — |
| LMArena Chinese | 1456 | — |
| LMArena French | 1469 | — |
| LMArena German | 1417 | — |
| LMArena Japanese | 1366 | — |
| LMArena Korean | 1400 | — |
| LMArena Russian | 1427 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Not comparable
MiMo-V2-Pro: 76.0 (#49), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.8 (#70), Qwen3 Coder Next: —
| Benchmark | MiMo-V2-Pro | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Qwen3 Coder Next?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 34.3 on the Noometry Index. Qwen3 Coder Next costs 1.9× less per token, which makes it the better buy when MiMo-V2-Pro's lead doesn't matter for your workload.
Which is cheaper, MiMo-V2-Pro or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Is MiMo-V2-Pro or Qwen3 Coder Next better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 36.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 262K.
How many benchmarks do MiMo-V2-Pro and Qwen3 Coder Next share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen3 Coder Next has 3.