Model comparison
GPT-5.5 Pro vs Qwen3.5-35B-A3B
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); Qwen3.5-35B-A3B #72 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.5 Pro and Qwen3.5-35B-A3B share 2 comparable benchmark results. 2 of 8 categories are comparable. 5 results are unique to GPT-5.5 Pro; 26 to Qwen3.5-35B-A3B.
Updated July 22, 2026- Shared results
- 2
- GPT-5.5 Pro only
- 5
- Qwen3.5-35B-A3B only
- 26
- Comparable categories
- 2 / 8
Pick GPT-5.5 Pro if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GPT-5.5 Pro is clearly ahead on the BenchAlign aggregate, 63.69 to 56.97. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5 Pro's sharpest advantage is in agentic, where it averages 90.1 against 51. The single biggest benchmark swing on the page is BrowseComp, 90.1% to 61%. Qwen3.5-35B-A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. GPT-5.5 Pro gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-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-5.5 Pro | Δ | Qwen3.5-35B-A3B |
|---|---|---|---|
| Agentic | GPT-5.5 Pro90.1 | Margin← 39.1 | Qwen3.5-35B-A3B51.0 |
| Knowledge | GPT-5.5 Pro57.2 | Margin→ 24.4 | Qwen3.5-35B-A3B81.6 |
| Coding | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.5-35B-A3B60.6 |
| Reasoning | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.5-35B-A3B59.0 |
| Math | GPT-5.5 Pro48.1 | MarginNo overlap | Qwen3.5-35B-A3BNot measured |
| Multilingual | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.5-35B-A3B81.0 |
| Inst. Following | GPT-5.5 ProNot measured | MarginNo overlap | Qwen3.5-35B-A3B91.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
BrowseComp
AgenticA 90.1%B 61%Winner: GPT-5.5 ProΔ 29.1BrowseComp: GPT-5.5 Pro scored 90.1%; Qwen3.5-35B-A3B scored 61%. 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 | Qwen3.5-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.5 Pro$30 input / $180 output | Qwen3.5-35B-A3B$0 input / $0 output | Qwen3.5-35B-A3B has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.5 ProNot available | Qwen3.5-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.5 ProNot available | Qwen3.5-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.5 Pro1M | Qwen3.5-35B-A3B262K | GPT-5.5 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.5 Pro wins5 benchmarks
Coding3 benchmarks
Reasoning3 benchmarks
KnowledgeQwen3.5-35B-A3B wins11 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| HLESource | 57.2% | — | Not comparable |
| HLE w/o toolsSource | 43.1% | — | Not comparable |
| MMLU-ProSource | — | 85.3% | Not comparable |
| SuperGPQASource | — | 63.4% | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 29.3% | Not comparable |
| AA-GPQA DiamondSource | — | 84.5% | Not comparable |
| AA-HLESource | — | 19.7% | Not comparable |
| AA-Omniscience IndexSource | — | -46.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 20.5% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.0% | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | GPT-5.5 Pro | Qwen3.5-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 81% | Not comparable |
Multimodal5 benchmarks
Frequently Asked Questions (3)
Which is better, GPT-5.5 Pro or Qwen3.5-35B-A3B?
GPT-5.5 Pro is ahead on BenchLM's BenchAlign leaderboard, 63.69 to 56.97. The biggest single separator in this matchup is BrowseComp, where the scores are 90.1% and 61%.
Which is better for knowledge tasks, GPT-5.5 Pro or Qwen3.5-35B-A3B?
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 57.2. 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 Qwen3.5-35B-A3B?
GPT-5.5 Pro has the edge for agentic tasks in this comparison, averaging 90.1 versus 51. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
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