Model comparison
GPT-5 Pro vs Qwen3.6 35B-A3B
GPT-5 Pro is the stronger model overall, scoring 46.4 to 37.6 on the Noometry Index. Qwen3.6 35B-A3B costs 74× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. GPT-5 Pro scores higher in 4 categories and Qwen3.6 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 28.0.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 55.8% for GPT-5 Pro and 20.4% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 46.4 | 37.6 |
| Released | 2025-10-06 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 66K |
| Input $ / M tokens | $15 | $0.25 |
| Output $ / M tokens | $120 | $1.49 |
| Results tracked | 12 | 14 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Qwen3.6 35B-A3B: 37.2 (#196)
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Qwen3.6 35B-A3B: 22.1 (#134)
| Benchmark | GPT-5 Pro | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 38.9 (#62), Qwen3.6 35B-A3B: 28.0 (#109)
| Benchmark | GPT-5 Pro | Qwen3.6 35B-A3B |
|---|---|---|
| Epoch Capabilities Index | 150.28 | 143.93 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| NYT Connections (extended) | — | 41.6% |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| EnigmaEval | 18.8% | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
Math GPT-5 Pro leads
GPT-5 Pro: 48.5 (#63), Qwen3.6 35B-A3B: 38.9 (#121)
| Benchmark | GPT-5 Pro | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | 20.4% |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.7 (#42), Qwen3.6 35B-A3B: 51.3 (#68)
| Benchmark | GPT-5 Pro | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| Humanity's Last Exam | 31.6% | — |
Frequently asked questions
Is GPT-5 Pro better than Qwen3.6 35B-A3B?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 37.6 on the Noometry Index. Qwen3.6 35B-A3B costs 74× 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 Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $1.49 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Qwen3.6 35B-A3B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 37.2 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 Qwen3.6 35B-A3B share?
3 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Qwen3.6 35B-A3B has 14.