Model comparison
MiMo-V2-Pro vs Qwen Turbo
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 27.1 on the Noometry Index. Qwen Turbo costs 6.2× 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 math, where MiMo-V2-Pro leads 39.5 to 15.3.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2-Pro.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| MiMo-V2-Pro | Qwen Turbo | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.0 | 27.1 |
| Released | 2026-03-18 | 2024-11-01 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 131K | 16K |
| Input $ / M tokens | $0.43 | $0.05 |
| Output $ / M tokens | $0.87 | $0.20 |
| Results tracked | 23 | 3 |
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Category by category
Coding Not comparable
MiMo-V2-Pro: 43.8 (#83), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| LMArena WebDev | 1433 | — |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Reasoning Not comparable
MiMo-V2-Pro: 22.1 (#206), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
Math MiMo-V2-Pro leads
MiMo-V2-Pro: 39.5 (#102), Qwen Turbo: 15.3 (#297)
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 6.1% |
| LMArena Math | 1447 | — |
| MATH Level 5 | — | 56.2% |
Knowledge MiMo-V2-Pro leads
MiMo-V2-Pro: 41.4 (#111), Qwen Turbo: 22.2 (#272)
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| GPQA Diamond | — | 41.8% |
| LMArena Expert | 1478 | — |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| 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), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.8 (#70), Qwen Turbo: —
| Benchmark | MiMo-V2-Pro | Qwen Turbo |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Qwen Turbo?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 27.1 on the Noometry Index. Qwen Turbo costs 6.2× 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 Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; MiMo-V2-Pro lists at $0.43 and $0.87.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 1M.
How many benchmarks do MiMo-V2-Pro and Qwen Turbo share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen Turbo has 3.