Model comparison
MiMo-V2-Pro vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.0 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. MiMo-V2-Pro scores higher in 2 categories and Qwen3.7 Plus in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Plus leads 39.3 to 22.1.
- The biggest single-benchmark swing is NYT Connections (extended): 25.8% for MiMo-V2-Pro and 74.8% for Qwen3.7 Plus.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| MiMo-V2-Pro | Qwen3.7 Plus | |
|---|---|---|
| Provider | Xiaomi | Alibaba (Qwen) |
| Noometry Index | 43.0 | 45.3 |
| Released | 2026-03-18 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.43 | $0.40 |
| Output $ / M tokens | $0.87 | $1.60 |
| Results tracked | 23 | 32 |
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Category by category
Coding MiMo-V2-Pro leads
MiMo-V2-Pro: 43.8 (#83), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1476 | 1473 |
| FrontierCode | — | 10.2% |
| LMArena WebDev | 1433 | — |
| SciCode | — | 45.5% |
| ALE-Bench | 785.17 | — |
Agentic & Tool Use Not comparable
MiMo-V2-Pro: —, Qwen3.7 Plus: 21.4 (#138)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
MiMo-V2-Pro: 22.1 (#206), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| NYT Connections (extended) | 25.8% | 74.8% |
| LMArena Hard Prompts | 1457 | 1460 |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | 45.9% | — |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.37 |
Math Qwen3.7 Plus leads
MiMo-V2-Pro: 39.5 (#102), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1447 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
Knowledge Qwen3.7 Plus leads
MiMo-V2-Pro: 41.4 (#111), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1478 | 1467 |
| GPQA Diamond | — | 87.9% |
Multimodal Not comparable
MiMo-V2-Pro: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
MiMo-V2-Pro: 52.7 (#81), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1416 | 1445 |
| LMArena Chinese | 1456 | 1510 |
| LMArena French | 1469 | 1473 |
| LMArena German | 1417 | 1471 |
| LMArena Japanese | 1366 | 1413 |
| LMArena Korean | 1400 | 1415 |
| LMArena Russian | 1427 | 1457 |
| LMArena Spanish | 1457 | 1457 |
Instruction Following Too close to call
MiMo-V2-Pro: 76.0 (#49), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1445 | 1440 |
Long Context Qwen3.7 Plus leads
MiMo-V2-Pro: 41.5 (#138), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1455 | 1455 |
| CL-bench | 15.7% | — |
| CL-bench Life | 6.9% | — |
Writing & Preference Qwen3.7 Plus leads
MiMo-V2-Pro: 62.8 (#70), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1436 | 1455 |
| LMArena Creative Writing | 1415 | 1439 |
| LMArena Multi-Turn | 1456 | 1460 |
Frequently asked questions
Is MiMo-V2-Pro better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.0 on the Noometry Index.
Which is cheaper, MiMo-V2-Pro or Qwen3.7 Plus?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.
Is MiMo-V2-Pro or Qwen3.7 Plus better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.8 versus 36.6 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 1M.
How many benchmarks do MiMo-V2-Pro and Qwen3.7 Plus share?
18 benchmarks have published results for both models. MiMo-V2-Pro has 23 scored results on Noometry and Qwen3.7 Plus has 32.