Model comparison
MiMo-V2.5 vs Qwen3.7 Plus
Head-to-head evidence from 8 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiMo-V2.5 #62 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2.5 and Qwen3.7 Plus share 8 comparable benchmark results. 3 of 8 categories are comparable. 3 results are unique to MiMo-V2.5; 61 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 8
- MiMo-V2.5 only
- 3
- Qwen3.7 Plus only
- 61
- Comparable categories
- 3 / 8
Pick Qwen3.7 Plus if you want the stronger benchmark profile. MiMo-V2.5 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 8 shared benchmark results across 3 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.7 Plus is clearly ahead on the BenchAlign aggregate, 67.22 to 58.62. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Plus's sharpest advantage is in coding, where it averages 75.6 against 56.1. The single biggest benchmark swing on the page is CharXiv, 81% to 85.9%.
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-V2.5 | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Coding | MiMo-V2.556.1 | Margin→ 19.5 | Qwen3.7 Plus75.6 |
| Agentic | MiMo-V2.565.8 | Margin→ 5.9 | Qwen3.7 Plus71.7 |
| Multimodal | MiMo-V2.579.0 | Margin→ 2.5 | Qwen3.7 Plus81.5 |
| Reasoning | MiMo-V2.5Not measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Knowledge | MiMo-V2.5Not measured | MarginNo overlap | Qwen3.7 Plus60.1 |
| Math | MiMo-V2.5Not measured | MarginNo overlap | Qwen3.7 Plus92.9 |
| Multilingual | MiMo-V2.5Not measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Inst. Following | MiMo-V2.5Not measured | MarginNo overlap | Qwen3.7 Plus84.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
CharXiv
MultimodalA 81%B 85.9%Winner: Qwen3.7 PlusΔ 4.9CharXiv: MiMo-V2.5 scored 81%; Qwen3.7 Plus scored 85.9%. Qwen3.7 Plus wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 65.8%B 70.3%Winner: Qwen3.7 PlusΔ 4.5Terminal-Bench 2.0: MiMo-V2.5 scored 65.8%; Qwen3.7 Plus scored 70.3%. Qwen3.7 Plus wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 56.1%B 57.6%Winner: Qwen3.7 PlusΔ 1.5SWE-bench Pro: MiMo-V2.5 scored 56.1%; Qwen3.7 Plus scored 57.6%. Qwen3.7 Plus wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 77.9%B 79%Winner: Qwen3.7 PlusΔ 1.1MMMU-Pro: MiMo-V2.5 scored 77.9%; Qwen3.7 Plus scored 79%. Qwen3.7 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2.5 | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2.5Not available | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2.5Not available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2.5Not available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2.51M | Qwen3.7 Plus1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticQwen3.7 Plus wins19 benchmarks
| Benchmark | MiMo-V2.5 | Qwen3.7 Plus | Result |
|---|---|---|---|
| Claw-EvalSource | 62.3% | 62.7% | Qwen3.7 Plus leads |
| MM-ClawBenchSource | 23.8% | — | Not comparable |
| Terminal-Bench 2.0Source | 65.8% | 70.3% | Qwen3.7 Plus leads |
| Gert LabsSource | 46.89% | — | Not comparable |
| ResearchClawBenchSource | 16.9% | — | 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 |
| τ²-bench resultsSource | — | 93% | Not comparable |
| GDPval-AASource | — | 21.8% | Not comparable |
| GDPval-AASource | — | 936 | Not comparable |
| OSWorld 2.0Source | — | 2.8% | Not comparable |
CodingQwen3.7 Plus wins9 benchmarks
| Benchmark | MiMo-V2.5 | Qwen3.7 Plus | Result |
|---|---|---|---|
| SWE-bench ProSource | 56.1% | 57.6% | Qwen3.7 Plus leads |
| Terminal-Bench 2.0Source | 65.8% | 70.3% | Qwen3.7 Plus leads |
| SWE-bench VerifiedSource | — | 77.7% | 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 |
| AA-SciCodeSource | — | 45.5% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | MiMo-V2.5 | Qwen3.7 Plus | Result |
|---|---|---|---|
| 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 |
| Artificial Analysis Intelligence IndexSource | — | 39.0% | Not comparable |
| AA-GPQA DiamondSource | — | 90.0% | Not comparable |
| AA-HLESource | — | 33.4% | Not comparable |
| AA-Omniscience IndexSource | — | 2.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 22.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 25.5% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
MultimodalQwen3.7 Plus wins17 benchmarks
| Benchmark | MiMo-V2.5 | Qwen3.7 Plus | Result |
|---|---|---|---|
| Video-MME (with subtitle)Source | 87.7% | 88.0% | Qwen3.7 Plus leads |
| CharXivSource | 81% | 85.9% | Qwen3.7 Plus leads |
| MMMU-ProSource | 77.9% | 79% | Qwen3.7 Plus leads |
| Design Arena WebsiteSource | 1291 | 1288 | MiMo-V2.5 leads |
| MathVisionSource | — | 90.3% | 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 |
| VideoMMMUSource | — | 85.4% | Not comparable |
| MLVU (M-Avg)Source | — | 87.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Frequently Asked Questions (4)
Which is better, MiMo-V2.5 or Qwen3.7 Plus?
Qwen3.7 Plus is ahead on BenchLM's BenchAlign leaderboard, 67.22 to 58.62. The biggest single separator in this matchup is CharXiv, where the scores are 81% and 85.9%.
Which is better for coding, MiMo-V2.5 or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for coding in this comparison, averaging 75.6 versus 56.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, MiMo-V2.5 or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for agentic tasks in this comparison, averaging 71.7 versus 65.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, MiMo-V2.5 or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.5 versus 79. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
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