# GPT-5.5 vs Qwen3.5-35B-A3B

> Side-by-side benchmark comparison for GPT-5.5 and Qwen3.5-35B-A3B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/gpt-5-5-vs-qwen3-5-35b-a3b
- Last updated: September 28, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick GPT-5.5 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GPT-5.5 leads overall 69.02 to 47.
- The clearest category separation is in coding, where the averages are 62.7 for GPT-5.5 and 26.7 for Qwen3.5-35B-A3B.
- The biggest single benchmark swing is Gert Labs in Agentic, with scores of 72.93% and 28.96%.
- Qwen3.5-35B-A3B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.5 also has the larger context window at 1M.

## Model Snapshot

| Property | GPT-5.5 | Qwen3.5-35B-A3B |
|----------|----------|----------|
| Creator | OpenAI | Alibaba |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 262K |
| Overall Score | 69.02 | 47 |
| Benchmarks Covered | 39 | 16 |
| Pricing (input/output) | $5.00 / $30.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GPT-5.5 public-lane score: 60.1 (Supported · #19/117)
- Qwen3.5-35B-A3B public-lane score: 29.4 (Estimated · #81/117)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 82% | 40.5% | GPT-5.5 |
| CyberGym | 81.8% | Coming soon | Coming soon |
| BrowseComp | 84.4% | 61% | GPT-5.5 |
| OSWorld-Verified | 78.7% | 54.5% | GPT-5.5 |
| MCP Atlas | 75.3% | Coming soon | Coming soon |
| Toolathlon | 55.6% | Coming soon | Coming soon |
| τ²-bench results | 98% | Coming soon | Coming soon |
| Gert Labs | 72.93% | 28.96% | GPT-5.5 |
| ResearchClawBench | 17.0% | Coming soon | Coming soon |
| OSWorld 2.0 | 13.0% | Coming soon | Coming soon |
| JobBench | 42.7% | Coming soon | Coming soon |
| ExploitGym | 13.4% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 76.4% | Coming soon | Coming soon |
| ApprenticeBench | 20% | Coming soon | Coming soon |

### Coding

- Winner: Directional only
- GPT-5.5 public-lane score: 62.7 (Supported · #12/142)
- Qwen3.5-35B-A3B public-lane score: 26.7 (Estimated · #100/142)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 58.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 82.0% | Coming soon | Coming soon |
| Vibe Code Bench | 69.85% | Coming soon | Coming soon |
| React Native Evals | 84.7% | Coming soon | Coming soon |
| cursorBench31 | 59.2% | Coming soon | Coming soon |
| cursorBench32 | 58.4% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 43.0% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 85.3% | Coming soon | Coming soon |
| SWE-bench (Vals) | 82.6% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 69.2% | Coming soon |
| SWE-Rebench | Coming soon | 53.7% | Coming soon |

### Reasoning

- Winner: Not comparable
- GPT-5.5 public-lane score: 66.1 (#16/27)
- Qwen3.5-35B-A3B public-lane score: 41.4 (Unranked · 3 rankable rows)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 64K-128K | 83.1% | Coming soon | Coming soon |
| MRCR v2 128K-256K | 87.5% | Coming soon | Coming soon |
| ARC-AGI-2 | 85% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.4% | Coming soon | Coming soon |
| LongBench v2 | Coming soon | 59% | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GPT-5.5 public-lane score: 71.4 (#20/50)
- Qwen3.5-35B-A3B public-lane score: 68.2 (Unranked · 3 rankable rows)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | 81.2% | Coming soon | Coming soon |
| MMMU-Pro w/ Python | 83.2% | Coming soon | Coming soon |
| OfficeQA Pro | 54.1% | Coming soon | Coming soon |
| MMMU | Coming soon | 81.4% | Coming soon |
| MMVU | Coming soon | 72.3% | Coming soon |
| MathVision | Coming soon | 83.9% | Coming soon |
| V* | Coming soon | 92.7% | Coming soon |

### Knowledge

- Winner: GPT-5.5
- GPT-5.5 public-lane score: 69.8 (Supported · #13/168)
- Qwen3.5-35B-A3B public-lane score: 39.7 (Supported · #100/168)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 93.6% | 84.2% | GPT-5.5 |
| GPQA-D | 93.6% | Coming soon | Coming soon |
| HLE | 52.2% | Coming soon | Coming soon |
| HLE w/o tools | 41.4% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 93.2% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 88.1% | Coming soon | Coming soon |
| MMLU-Pro | Coming soon | 85.3% | Coming soon |
| SuperGPQA | Coming soon | 63.4% | Coming soon |

### Multilingual

- Winner: Not comparable
- GPT-5.5 public-lane score: Coming soon
- Qwen3.5-35B-A3B public-lane score: 21.1 (#11/12)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | Coming soon | 81% | Coming soon |

### Instruction Following

- Winner: Directional only
- GPT-5.5 public-lane score: 91.9 (#7/124)
- Qwen3.5-35B-A3B public-lane score: 87.4 (#30/124)

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 91.9% | Coming soon |

### Mathematics

- Winner: Not comparable
- GPT-5.5 public-lane score: 69.4 (Unranked · 3 rankable rows)
- Qwen3.5-35B-A3B public-lane score: Coming soon

| Benchmark | GPT-5.5 | Qwen3.5-35B-A3B | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 51.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 51.700% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 35.400% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GPT-5.5 or Qwen3.5-35B-A3B?

GPT-5.5 is ahead overall on BenchLM right now.

### Where is the biggest gap between GPT-5.5 and Qwen3.5-35B-A3B?

The widest category gap is in coding, where the averages are 62.7 for GPT-5.5 and 26.7 for Qwen3.5-35B-A3B.

### How many benchmarks does GPT-5.5 cover on BenchLM?

GPT-5.5 currently has 39 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.5-35B-A3B cover on BenchLM?

Qwen3.5-35B-A3B currently has 16 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GPT-5.5 vs GPT-5.5 Pro](/compare/gpt-5-5-vs-gpt-5-5-pro)
- [Qwen3.5-35B-A3B vs GPT-5.5 Pro](/compare/gpt-5-5-pro-vs-qwen3-5-35b-a3b)
- [GPT-5.5 vs GPT-6 Astra](/compare/gpt-5-5-vs-gpt-6-astra)
- [Qwen3.5-35B-A3B vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-5-35b-a3b)

## Explore More

- [GPT-5.5 profile](/models/gpt-5-5)
- [Qwen3.5-35B-A3B profile](/models/qwen3-5-35b-a3b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)