Model comparison
o1-pro vs Qwen3.6 35B-A3B
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where Qwen3.6 35B-A3B leads 51.4 to 29.3.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3.6 35B-A3B accepts more context: 262K tokens versus 200K.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 37.2 |
| Released | 2025-03-19 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $150 | $0.25 |
| Output $ / M tokens | $600 | $1.49 |
| Results tracked | 3 | 14 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3.6 35B-A3B: 36.7 (#190)
Agentic & Tool Use Not comparable
o1-pro: —, Qwen3.6 35B-A3B: 21.9 (#126)
| Benchmark | o1-pro | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | — | 23% |
Reasoning Qwen3.6 35B-A3B leads
o1-pro: 20.2 (#223), Qwen3.6 35B-A3B: 27.2 (#112)
| Benchmark | o1-pro | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| ARC-AGI-1 | 23.3% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| EnigmaEval | 6.1% | — |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.92 |
Math Not comparable
o1-pro: —, Qwen3.6 35B-A3B: 37.9 (#90)
| Benchmark | o1-pro | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
Knowledge Qwen3.6 35B-A3B leads
o1-pro: 29.3 (#227), Qwen3.6 35B-A3B: 51.4 (#63)
| Benchmark | o1-pro | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
| Humanity's Last Exam | 8.1% | — |
Frequently asked questions
Is o1-pro better than Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is the stronger model overall, scoring 37.2 to 31.2 on the Noometry Index.
Which is cheaper, o1-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; o1-pro lists at $150 and $600.
Which has the bigger context window?
Qwen3.6 35B-A3B does, with 262K tokens against 200K.
How many benchmarks do o1-pro and Qwen3.6 35B-A3B share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3.6 35B-A3B has 14.