Model comparison
MiMo-V2-Pro vs Qwen3.7 Plus
Head-to-head evidence from 13 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiMo-V2-Pro #17 (Supported); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2-Pro and Qwen3.7 Plus share 13 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to MiMo-V2-Pro; 56 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 13
- MiMo-V2-Pro only
- 2
- Qwen3.7 Plus only
- 56
- Comparable categories
- 1 / 8
Pick MiMo-V2-Pro if you want the stronger benchmark profile. Qwen3.7 Plus only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MiMo-V2-Pro has the cleaner BenchAlign overall profile here, landing at 67.78 versus 67.22. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MiMo-V2-Pro's sharpest advantage is in coding, where it averages 78 against 75.6. The single biggest benchmark swing on the page is SWE-bench Verified, 78% to 77.7%.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | MiMo-V2-Pro | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Coding | MiMo-V2-Pro78.0 | Margin← 2.4 | Qwen3.7 Plus75.6 |
| Agentic | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus71.7 |
| Reasoning | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | MiMo-V2-ProNot measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 78%B 77.7%Winner: MiMo-V2-ProΔ 0.3SWE-bench Verified: MiMo-V2-Pro scored 78%; Qwen3.7 Plus scored 77.7%. MiMo-V2-Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2-Pro | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2-ProNot available | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2-ProNot available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2-ProNot available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2-Pro1M | Qwen3.7 Plus1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| Claw-EvalSource | 57.8% | 62.7% | Qwen3.7 Plus leads |
| τ²-bench resultsSource | 95% | 93% | MiMo-V2-Pro leads |
| Gert LabsSource | 36.68% | — | Not comparable |
| ResearchClawBenchSource | 15.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| BFCL v4Source | — | 72.9% | Not comparable |
| MCP AtlasSource | — | 73.2% | Not comparable |
| VITA-BenchSource | — | 45.6% | Not comparable |
| DeepPlanningSource | — | 62.3% | Not comparable |
| OSWorld-VerifiedSource | — | 73.3% | Not comparable |
| AndroidWorldSource | — | 81.0% | Not comparable |
| AA Agentic IndexSource | — | 20.8% | Not comparable |
| APEX-Agents-AASource | — | 22.4% | Not comparable |
| GDPval-AASource | — | 21.8% | Not comparable |
| GDPval-AASource | — | 936 | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
CodingMiMo-V2-Pro wins9 benchmarks
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 78% | 77.7% | MiMo-V2-Pro leads |
| AA-SciCodeSource | 42.5% | 45.5% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench ProSource | — | 57.6% | Not comparable |
| SWE MultilingualSource | — | 75.8% | Not comparable |
| NL2RepoSource | — | 41.1% | Not comparable |
| SciCodeSource | — | 51.3% | Not comparable |
| LiveCodeBenchSource | — | 89.6% | Not comparable |
| AA Coding IndexSource | — | 55.9% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.3% | 39.0% | MiMo-V2-Pro leads |
| AA-GPQA DiamondSource | 87.0% | 90.0% | Qwen3.7 Plus leads |
| AA-HLESource | 28.3% | 33.4% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | 4.9% | 2.4% | MiMo-V2-Pro leads |
| AA-Omniscience AccuracySource | 26.8% | 22.2% | MiMo-V2-Pro leads |
| AA-Omniscience Hallucination RateSource | 29.9% | 25.5% | Qwen3.7 Plus leads |
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | Not comparable |
| HLESource | — | 34.7% | Not comparable |
| MMLU-ProSource | — | 88.5% | Not comparable |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
| SuperGPQASource | — | 71.4% | Not comparable |
| MMMLUSource | — | 89.0% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | MiMo-V2-Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 90.3% | Not comparable |
| CharXivSource | — | 85.9% | Not comparable |
| ERQASource | — | 69.8% | Not comparable |
| MedXpertQA (MM)Source | — | 71.0% | Not comparable |
| ScreenSpot ProSource | — | 79.0% | Not comparable |
| SimpleVQASource | — | 81.7% | Not comparable |
| MMSearch-PlusSource | — | 41.4% | Not comparable |
| RealWorldQASource | — | 86.9% | Not comparable |
| OmniDocBench 1.5Source | — | 91.4% | Not comparable |
| OCRBench V2Source | — | 70.7% | Not comparable |
| ODINW13Source | — | 51.1% | Not comparable |
| Video-MME (with subtitle)Source | — | 88.0% | Not comparable |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
| Design Arena WebsiteSource | — | 1288 | Not comparable |
Frequently Asked Questions (2)
Which is better, MiMo-V2-Pro or Qwen3.7 Plus?
MiMo-V2-Pro is ahead on BenchLM's BenchAlign leaderboard, 67.78 to 67.22. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 78% and 77.7%.
Which is better for coding, MiMo-V2-Pro or Qwen3.7 Plus?
MiMo-V2-Pro has the edge for coding in this comparison, averaging 78 versus 75.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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