Model comparison
GPT-5 Pro vs Qwen3.5 35B-A3B
GPT-5 Pro is the stronger model overall, scoring 46.4 to 42.0 on the Noometry Index. Qwen3.5 35B-A3B costs 60× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3.5 35B-A3B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 24.6.
- Qwen3.5 35B-A3B is cheaper at $0.25 / $2 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Qwen3.5 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen3.5 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 42.0 |
| Released | 2025-10-06 | 2026-02-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 66K |
| Input $ / M tokens | $15 | $0.25 |
| Output $ / M tokens | $120 | $2 |
| Results tracked | 12 | 28 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen3.5 35B-A3B: 33.8 (#251)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena WebDev | — | 1254 |
| SciCode | — | 29.3% |
| WeirdML | 60.4% | — |
| LMArena Coding | — | 1410 |
| AlgoTune | 1.31 | — |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen3.5 35B-A3B: 24.6 (#161)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 142.52 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 10% |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1400 |
| DTBench | — | 80% |
| LMCA | — | 29.5% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen3.5 35B-A3B: 39.9 (#97)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| MathArena Final-Answer Competitions | — | 56% |
| OTIS Mock AIME 2024-2025 | — | 70% |
| LMArena Math | — | 1404 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen3.5 35B-A3B: 47.8 (#79)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 83.5% |
| Humanity's Last Exam | 31.6% | — |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1408 |
Multilingual Not comparable
GPT-5 Pro: —, Qwen3.5 35B-A3B: 50.0 (#127)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1457 |
| LMArena French | — | 1412 |
| LMArena German | — | 1367 |
| LMArena Japanese | — | 1325 |
| LMArena Korean | — | 1356 |
| LMArena Russian | — | 1376 |
| LMArena Spanish | — | 1392 |
Instruction Following Not comparable
GPT-5 Pro: —, Qwen3.5 35B-A3B: 72.8 (#128)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1379 |
Long Context Not comparable
GPT-5 Pro: —, Qwen3.5 35B-A3B: 42.4 (#127)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Longer Query | — | 1389 |
Writing & Preference Not comparable
GPT-5 Pro: —, Qwen3.5 35B-A3B: 57.9 (#124)
| Benchmark | GPT-5 Pro | Qwen3.5 35B-A3B |
|---|---|---|
| LMArena Text | — | 1395 |
| LMArena Creative Writing | — | 1346 |
| LMArena Multi-Turn | — | 1390 |
Frequently asked questions
Is GPT-5 Pro better than Qwen3.5 35B-A3B?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 42.0 on the Noometry Index. Qwen3.5 35B-A3B costs 60× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or Qwen3.5 35B-A3B?
Qwen3.5 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3.5 35B-A3B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 262K.
How many benchmarks do GPT-5 Pro and Qwen3.5 35B-A3B share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3.5 35B-A3B has 28.