Model comparison
GPT-5.4 mini vs Qwen3.6-35B-A3B
Head-to-head evidence from 23 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: GPT-5.4 mini unranked; Qwen3.6-35B-A3B #31
BenchAlign evidence: GPT-5.4 mini 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 mini and Qwen3.6-35B-A3B share 23 comparable benchmark results. 4 of 8 categories are comparable. 8 results are unique to GPT-5.4 mini; 35 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 23
- GPT-5.4 mini only
- 8
- Qwen3.6-35B-A3B only
- 35
- Comparable categories
- 4 / 8
Pick GPT-5.4 mini 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 23 shared benchmark results across 6 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 mini is clearly ahead on the provisional aggregate, 64 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.7 against 51.5. The single biggest benchmark swing on the page is HLE, 41.5% 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 mini gives you the larger context window at 400K, 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 mini | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Math | GPT-5.4 mini21.7 | Margin→ 66.5 | Qwen3.6-35B-A3B88.2 |
| Agentic | GPT-5.4 mini65.7 | Margin← 14.2 | Qwen3.6-35B-A3B51.5 |
| Knowledge | GPT-5.4 mini47.8 | Margin→ 4.0 | Qwen3.6-35B-A3B51.8 |
| Multimodal | GPT-5.4 mini76.6 | Margin← 0.3 | Qwen3.6-35B-A3B76.3 |
| Coding | GPT-5.4 miniNot measured | MarginNo overlap | Qwen3.6-35B-A3B73.8 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 41.5%B 21.4%Winner: GPT-5.4 miniΔ 20.1HLE: GPT-5.4 mini scored 41.5%; Qwen3.6-35B-A3B scored 21.4%. GPT-5.4 mini wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 60%B 51.5%Winner: GPT-5.4 miniΔ 8.5Terminal-Bench 2.0: GPT-5.4 mini scored 60%; Qwen3.6-35B-A3B scored 51.5%. GPT-5.4 mini wins this benchmark. - Source ↗
GPQA
KnowledgeA 88%B 86%Winner: GPT-5.4 miniΔ 2GPQA: GPT-5.4 mini scored 88%; Qwen3.6-35B-A3B scored 86%. GPT-5.4 mini wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 76.6%B 75.3%Winner: GPT-5.4 miniΔ 1.3MMMU-Pro: GPT-5.4 mini scored 76.6%; Qwen3.6-35B-A3B scored 75.3%. GPT-5.4 mini wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 mini | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 mini$0.75 input / $4.5 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | GPT-5.4 mini201 tok/s | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 mini3.85 s | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 mini400K | Qwen3.6-35B-A3B262K | GPT-5.4 mini lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 mini wins17 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 60% | 51.5% | GPT-5.4 mini leads |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| MCP AtlasSource | 57.7% | 62.8% | Qwen3.6-35B-A3B leads |
| ToolathlonSource | 42.9% | 26.9% | GPT-5.4 mini leads |
| τ²-bench resultsSource | 93.4% | 95.3% | Qwen3.6-35B-A3B leads |
| AA Agentic IndexSource | 30.2% | 21.4% | GPT-5.4 mini leads |
| APEX-Agents-AASource | 28.2% | — | Not comparable |
| GDPval-AASource | 33.5% | 27.4% | GPT-5.4 mini leads |
| GDPval-AASource | 1171 | 1049 | GPT-5.4 mini leads |
| 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 |
| WideResearchSource | — | 60.1% | Not comparable |
| Gert LabsSource | — | 42.65% | Not comparable |
Coding11 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Vibe Code BenchSource | 47.97% | — | Not comparable |
| AA Coding IndexSource | 56.1% | 41.9% | GPT-5.4 mini leads |
| Terminal-Bench HardSource | 52.3% | 34.8% | GPT-5.4 mini leads |
| AA-SciCodeSource | 49.9% | 35.8% | GPT-5.4 mini leads |
| FrontierCodeSource | 27.0% | — | Not comparable |
| 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 |
Reasoning2 benchmarks
KnowledgeQwen3.6-35B-A3B wins12 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| GPQASource | 88% | 86% | GPT-5.4 mini leads |
| HLESource | 41.5% | 21.4% | GPT-5.4 mini leads |
| HLE w/o toolsSource | 28.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 40.0% | 31.6% | GPT-5.4 mini leads |
| AA-GPQA DiamondSource | 87.5% | 84.1% | GPT-5.4 mini leads |
| AA-HLESource | 26.6% | 20.2% | GPT-5.4 mini leads |
| AA-Omniscience IndexSource | -18.7% | -21.4% | GPT-5.4 mini leads |
| AA-Omniscience AccuracySource | 37.5% | 18.9% | GPT-5.4 mini leads |
| AA-Omniscience Hallucination RateSource | 89.8% | 49.7% | Qwen3.6-35B-A3B leads |
| MMLU-ProSource | — | 85.2% | Not comparable |
| SuperGPQASource | — | 64.7% | Not comparable |
| C-EvalSource | — | 90% | Not comparable |
MathQwen3.6-35B-A3B wins7 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 28.280% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 2.080% | — | 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 mini wins16 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMMU-ProSource | 76.6% | 75.3% | GPT-5.4 mini leads |
| MMMU-Pro w/ PythonSource | 78% | — | Not comparable |
| AA-MMMU-ProSource | 73.3% | 75.0% | Qwen3.6-35B-A3B 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 |
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 mini | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.3% | 64.4% | GPT-5.4 mini leads |
Frequently Asked Questions (5)
Which is better, GPT-5.4 mini or Qwen3.6-35B-A3B?
GPT-5.4 mini is ahead on BenchLM's provisional leaderboard, 64 to 59. The biggest single separator in this matchup is HLE, where the scores are 41.5% and 21.4%.
Which is better for knowledge tasks, GPT-5.4 mini or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for knowledge tasks in this comparison, averaging 51.8 versus 47.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 mini or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 21.7. GPT-5.4 mini stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, GPT-5.4 mini or Qwen3.6-35B-A3B?
GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.7 versus 51.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 mini or Qwen3.6-35B-A3B?
GPT-5.4 mini has the edge for multimodal and grounded tasks in this comparison, averaging 76.6 versus 76.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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