Model comparison
GPT-5.4 Pro vs Qwen3.6-35B-A3B
Head-to-head evidence from 3 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.4 Pro unranked; Qwen3.6-35B-A3B #31
BenchAlign evidence: GPT-5.4 Pro estimated; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 Pro and Qwen3.6-35B-A3B share 3 comparable benchmark results. 4 of 8 categories are comparable. 9 results are unique to GPT-5.4 Pro; 55 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 3
- GPT-5.4 Pro only
- 9
- Qwen3.6-35B-A3B only
- 55
- Comparable categories
- 4 / 8
Pick GPT-5.4 Pro if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if mathematics is the priority.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 3 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
GPT-5.4 Pro is clearly ahead on the provisional aggregate, 83 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in agentic, where it averages 89.3 against 51.5. The single biggest benchmark swing on the page is HLE, 58.7% to 21.4%. Qwen3.6-35B-A3B does hit back in mathematics, 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 262K for Qwen3.6-35B-A3B.
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 | Qwen3.6-35B-A3B |
|---|---|---|---|
| Math | GPT-5.4 Pro46.9 | Margin→ 41.3 | Qwen3.6-35B-A3B88.2 |
| Agentic | GPT-5.4 Pro89.3 | Margin← 37.8 | Qwen3.6-35B-A3B51.5 |
| Multimodal | GPT-5.4 Pro94.0 | Margin← 17.7 | Qwen3.6-35B-A3B76.3 |
| Knowledge | GPT-5.4 Pro48.4 | Margin→ 3.4 | Qwen3.6-35B-A3B51.8 |
| Coding | GPT-5.4 ProNot measured | MarginNo overlap | Qwen3.6-35B-A3B73.8 |
| Reasoning | GPT-5.4 Pro83.3 | MarginNo overlap | Qwen3.6-35B-A3BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 58.7%B 21.4%Winner: GPT-5.4 ProΔ 37.3HLE: GPT-5.4 Pro scored 58.7%; Qwen3.6-35B-A3B scored 21.4%. GPT-5.4 Pro wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 94%B 75.3%Winner: GPT-5.4 ProΔ 18.7MMMU-Pro: GPT-5.4 Pro scored 94%; Qwen3.6-35B-A3B scored 75.3%. 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 | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 Pro$30 input / $180 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 Pro74 tok/s | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 Pro151.79 s | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 Pro1.05M | Qwen3.6-35B-A3B262K | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins16 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| BrowseCompSource | 89.3% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| τ²-bench resultsSource | — | 95.3% | Not comparable |
| GDPval-AASource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1049 | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
Coding9 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | — | 73.4% | Not comparable |
| SWE MultilingualSource | — | 67.2% | Not comparable |
| SWE-bench ProSource | — | 49.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
| AA Coding IndexSource | — | 41.9% | Not comparable |
| Terminal-Bench HardSource | — | 34.8% | Not comparable |
| AA-SciCodeSource | — | 35.8% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.6-35B-A3B wins14 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| HLESource | 58.7% | 21.4% | GPT-5.4 Pro leads |
| FrontierScienceSource | 36.7% | — | Not comparable |
| FrontierScience ResearchSource | 36.7% | — | Not comparable |
| HLE w/o toolsSource | 42.7% | — | Not comparable |
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
| GPQASource | — | 86% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 31.6% | Not comparable |
| AA-GPQA DiamondSource | — | 84.1% | Not comparable |
| AA-HLESource | — | 20.2% | Not comparable |
| AA-Omniscience IndexSource | — | -21.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 49.7% | Not comparable |
MathQwen3.6-35B-A3B wins9 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | 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 2025Source | — | 90.7% | Not comparable |
| HMMT Nov 2025Source | — | 89.1% | Not comparable |
| HMMT Feb 2026Source | — | 83.6% | Not comparable |
| MMAnswerBenchSource | — | 78.9% | Not comparable |
| AIME26Source | — | 92.7% | Not comparable |
MultimodalGPT-5.4 Pro wins15 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMMU-ProSource | 94% | 75.3% | GPT-5.4 Pro leads |
| MMMUSource | — | 81.7% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| SimpleVQASource | — | 58.9% | Not comparable |
| CC-OCRSource | — | 81.9% | Not comparable |
| AI2D_TESTSource | — | 92.7% | Not comparable |
| RefCOCO (avg)Source | — | 92.0% | Not comparable |
| ODINW13Source | — | 50.8% | Not comparable |
| Video-MME (with subtitle)Source | — | 86.6% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 82.5% | Not comparable |
| VideoMMMUSource | — | 83.7% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
| AA-MMMU-ProSource | — | 75.0% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 Pro | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 64.4% | Not comparable |
Frequently Asked Questions (5)
Which is better, GPT-5.4 Pro or Qwen3.6-35B-A3B?
GPT-5.4 Pro is ahead on BenchLM's provisional leaderboard, 83 to 59. The biggest single separator in this matchup is HLE, where the scores are 58.7% and 21.4%.
Which is better for knowledge tasks, GPT-5.4 Pro or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 51.8 versus 48.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 Pro or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 46.9. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.4 Pro or Qwen3.6-35B-A3B?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 51.5. Qwen3.6-35B-A3B stays close enough that the answer can still flip depending on your workload.
Which is better for multimodal and grounded tasks, GPT-5.4 Pro or Qwen3.6-35B-A3B?
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 76.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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