Model comparison
MiMo-V2-Pro vs Qwen2.5-VL 72B Instruct
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 29.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| MiMo-V2-Pro | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.0 | 29.9 |
| Released | 2026-03-18 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.43 | $2.80 |
| Output $ / M tokens | $0.87 | $8.40 |
| Results tracked | 23 | 6 |
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Category by category
Coding Not comparable
MiMo-V2-Pro: 43.8 (#83), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena WebDev | 1433 | — |
| LMArena Coding | 1476 | — |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning MiMo-V2-Pro leads
MiMo-V2-Pro: 22.1 (#206), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| NYT Connections (extended) | 25.8% | — |
| Thematic Generalization | 45.9% | — |
| LMArena Hard Prompts | 1457 | — |
Math Not comparable
MiMo-V2-Pro: 39.5 (#102), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Math | 1447 | — |
Knowledge Not comparable
MiMo-V2-Pro: 41.4 (#111), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Expert | 1478 | — |
Multimodal Not comparable
MiMo-V2-Pro: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
MiMo-V2-Pro: 52.7 (#81), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1445 | — |
Long Context Not comparable
MiMo-V2-Pro: 41.5 (#138), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
| LMArena Longer Query | 1455 | — |
Writing & Preference Not comparable
MiMo-V2-Pro: 62.8 (#70), Qwen2.5-VL 72B Instruct: —
| Benchmark | MiMo-V2-Pro | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1436 | — |
| LMArena Creative Writing | 1415 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is MiMo-V2-Pro better than Qwen2.5-VL 72B Instruct?
MiMo-V2-Pro is the stronger model overall, scoring 43.0 to 29.9 on the Noometry Index.
Which is cheaper, MiMo-V2-Pro or Qwen2.5-VL 72B Instruct?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 131K.
How many benchmarks do MiMo-V2-Pro and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.