Model comparison
GPT-5.1 vs Qwen3.7 Max
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.1 #94 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1 and Qwen3.7 Max share 17 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to GPT-5.1; 41 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 17
- GPT-5.1 only
- 4
- Qwen3.7 Max only
- 41
- Comparable categories
- 1 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.1 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 17 shared benchmark results across 6 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
Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 53.65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 26.4.
Qwen3.7 Max gives you the larger context window at 1M, compared with 200K for GPT-5.1.
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-5.1 | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | GPT-5.126.4 | Margin→ 70.7 | Qwen3.7 Max97.1 |
| Agentic | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Multilingual | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | GPT-5.1Not measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1 | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1$1.25 input / $10 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.1111 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.157.47 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1200K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | GPT-5.1 | Qwen3.7 Max | Result |
|---|---|---|---|
| AA Agentic IndexSource | 21.0% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 81.9% | 94.7% | Qwen3.7 Max leads |
| Gert LabsSource | 41.24% | 64.27% | Qwen3.7 Max leads |
| GDPval-AASource | 24.4% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | 987 | 1273 | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding10 benchmarks
| Benchmark | GPT-5.1 | Qwen3.7 Max | Result |
|---|---|---|---|
| Vibe Code BenchSource | 24.61% | — | Not comparable |
| AA Coding IndexSource | 49.4% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 43.3% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | GPT-5.1 | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 36.9% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 87.3% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 26.5% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | 5.6% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 37.6% | 30.1% | GPT-5.1 leads |
| AA-Omniscience Hallucination RateSource | 51.3% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
MathQwen3.7 Max wins5 benchmarks
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, GPT-5.1 or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 53.65.
Which is better for math, GPT-5.1 or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 26.4. GPT-5.1 stays close enough that the answer can still flip depending on your workload.
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