Model comparison
GPT-5.5 Pro vs Qwen3.7 Plus
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.5 Pro #38 (Estimated); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Qwen3.7 Plus share 2 comparable benchmark results. 3 of 8 categories are comparable. 5 results are unique to GPT-5.5 Pro; 67 to Qwen3.7 Plus.
Updated July 23, 2026- Shared results
- 2
- GPT-5.5 Pro only
- 5
- Qwen3.7 Plus only
- 67
- Comparable categories
- 3 / 8
Pick Qwen3.7 Plus if you want the stronger benchmark profile. GPT-5.5 Pro only becomes the better choice if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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 63.69. 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 mathematics, where it averages 92.9 against 48.1. The single biggest benchmark swing on the page is HLE, 57.2% to 34.7%. GPT-5.5 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
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 | GPT-5.5 Pro | Δ | Qwen3.7 Plus |
|---|---|---|---|
| Math | GPT-5.5 Pro48.1 | Margin→ 44.8 | Qwen3.7 Plus92.9 |
| Agentic | GPT-5.5 Pro90.1 | Margin← 18.4 | Qwen3.7 Plus71.7 |
| Knowledge | GPT-5.5 Pro57.2 | Margin→ 2.9 | Qwen3.7 Plus60.1 |
| Coding | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.7 Plus75.6 |
| Reasoning | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.7 Plus91.7 |
| Multilingual | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.7 Plus85.4 |
| Multimodal | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.7 Plus81.5 |
| Inst. Following | GPT-5.5 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 ↗
HLE
KnowledgeA 57.2%B 34.7%Winner: GPT-5.5 ProΔ 22.5HLE: GPT-5.5 Pro scored 57.2%; Qwen3.7 Plus scored 34.7%. GPT-5.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.5 Pro | Qwen3.7 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Qwen3.7 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Qwen3.7 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Qwen3.7 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Qwen3.7 Plus1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins17 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| BrowseCompSource | 90.1% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| QwenClawBenchSource | — | 61.8% | Not comparable |
| QwenWebBenchSource | — | 1536 | Not comparable |
| Claw-EvalSource | — | 62.7% | 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 |
Coding9 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | — | 70.3% | Not comparable |
| SWE-bench VerifiedSource | — | 77.7% | 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 |
| AA-SciCodeSource | — | 45.5% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.7 Plus wins14 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| HLESource | 57.2% | 34.7% | GPT-5.5 Pro leads |
| HLE w/o toolsSource | 43.1% | — | Not comparable |
| GPQASource | — | 90.3% | Not comparable |
| GPQA-DSource | — | 90.3% | 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 |
MathQwen3.7 Plus wins6 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.7 Plus | Result |
|---|---|---|---|
| FrontierMath (legacy)Source | 52.4% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 51.000% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 39.600% | — | Not comparable |
| HMMT Feb 2026Source | — | 92.9% | Not comparable |
| IMOAnswerBenchSource | — | 86.0% | Not comparable |
| ApexSource | — | 22.7% | Not comparable |
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | GPT-5.5 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 (4)
Which is better, GPT-5.5 Pro or Qwen3.7 Plus?
Qwen3.7 Plus is ahead on BenchLM's BenchAlign leaderboard, 67.22 to 63.69. The biggest single separator in this matchup is HLE, where the scores are 57.2% and 34.7%.
Which is better for knowledge tasks, GPT-5.5 Pro or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for knowledge tasks in this comparison, averaging 60.1 versus 57.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.5 Pro or Qwen3.7 Plus?
Qwen3.7 Plus has the edge for math in this comparison, averaging 92.9 versus 48.1. GPT-5.5 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.5 Pro or Qwen3.7 Plus?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 71.7. Qwen3.7 Plus stays close enough that the answer can still flip depending on your workload.
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