Model comparison
GPT-5.4 Pro vs Qwen3.7 Max
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-5.4 Pro #44 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 Pro and Qwen3.7 Max share 2 comparable benchmark results. 4 of 8 categories are comparable. 10 results are unique to GPT-5.4 Pro; 56 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 2
- GPT-5.4 Pro only
- 10
- Qwen3.7 Max only
- 56
- Comparable categories
- 4 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if agentic is the priority or you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 4 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 60.89. 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 46.9. The single biggest benchmark swing on the page is HLE, 58.7% to 41.4%. GPT-5.4 Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Qwen3.7 Max.
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-5.4 Pro | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | GPT-5.4 Pro46.9 | Margin→ 50.2 | Qwen3.7 Max97.1 |
| Agentic | GPT-5.4 Pro89.3 | Margin← 19.6 | Qwen3.7 Max69.7 |
| Reasoning | GPT-5.4 Pro83.3 | Margin→ 7.1 | Qwen3.7 Max90.4 |
| Knowledge | GPT-5.4 Pro58.7 | Margin→ 5.5 | Qwen3.7 Max64.2 |
| Coding | GPT-5.4 ProNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Multilingual | GPT-5.4 ProNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Multimodal | GPT-5.4 Pro94.0 | MarginNo overlap | Qwen3.7 MaxNot measured |
| Inst. Following | GPT-5.4 ProNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 58.7%B 41.4%Winner: GPT-5.4 ProΔ 17.3HLE: GPT-5.4 Pro scored 58.7%; Qwen3.7 Max scored 41.4%. GPT-5.4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 Pro | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 Pro$30 input / $180 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 Pro74 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 Pro151.79 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 Pro1.05M | Qwen3.7 Max1M | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins22 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| BrowseCompSource | 89.3% | — | Not comparable |
| 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 |
| AA Agentic IndexSource | — | 30.6% | Not comparable |
| τ²-bench resultsSource | — | 94.7% | Not comparable |
| GDPval-AASource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 1273 | Not comparable |
| Gert LabsSource | — | 64.27% | 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 |
Coding9 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| 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 |
| AA Coding IndexSource | — | 66.0% | Not comparable |
| AA-SciCodeSource | — | 48.8% | Not comparable |
ReasoningQwen3.7 Max wins4 benchmarks
KnowledgeQwen3.7 Max wins16 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| HLESource | 58.7% | 41.4% | GPT-5.4 Pro leads |
| FrontierScienceSource | 36.7% | — | Not comparable |
| FrontierScience ResearchSource | 36.7% | — | Not comparable |
| HLE w/o toolsSource | 42.7% | — | Not comparable |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 46.0% | Not comparable |
| AA-GPQA DiamondSource | — | 92.3% | Not comparable |
| AA-HLESource | — | 38.1% | Not comparable |
| AA-Omniscience IndexSource | — | 14.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 30.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 22.9% | Not comparable |
MathQwen3.7 Max wins7 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| IPhO 2025 (Theory)Source | 93.5% | — | Not comparable |
| FrontierMath (legacy)Source | 50% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 50.000% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 37.500% | — | Not comparable |
| HMMT Feb 2026Source | — | 97.1% | Not comparable |
| IMOAnswerBenchSource | — | 90.0% | Not comparable |
| ApexSource | — | 44.5% | Not comparable |
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (5)
Which is better, GPT-5.4 Pro or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 60.89. The biggest single separator in this matchup is HLE, where the scores are 58.7% and 41.4%.
Which is better for knowledge tasks, GPT-5.4 Pro or Qwen3.7 Max?
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 58.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 Pro or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 46.9. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for reasoning, GPT-5.4 Pro or Qwen3.7 Max?
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 83.3. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 Pro or Qwen3.7 Max?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 69.7. Qwen3.7 Max stays close enough that the answer can still flip depending on your workload.
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