Model comparison
o1-pro vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 29.3.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $150 / $600 for o1-pro.
- Qwen3.6 27B accepts more context: 262K tokens versus 200K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| o1-pro | Qwen3.6 27B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 41.9 |
| Released | 2025-03-19 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 100K | 66K |
| Input $ / M tokens | $150 | $0.60 |
| Output $ / M tokens | $600 | $3.60 |
| Results tracked | 3 | 11 |
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Category by category
Coding Not comparable
o1-pro: —, Qwen3.6 27B: 38.5 (#162)
| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |
Reasoning Qwen3.6 27B leads
o1-pro: 20.2 (#223), Qwen3.6 27B: 24.4 (#148)
| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| ARC-AGI-1 | 23.3% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| EnigmaEval | 6.1% | — |
| Mystery Game Puzzles | — | 7% |
| DTBench | — | 78.1% |
| LMCA | — | 34.5% |
| Epoch Capabilities Index | — | 146.47 |
Math Not comparable
o1-pro: —, Qwen3.6 27B: 47.5 (#56)
| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |
Knowledge Qwen3.6 27B leads
o1-pro: 29.3 (#227), Qwen3.6 27B: 52.4 (#58)
| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| Humanity's Last Exam | 8.1% | — |
Writing & Preference Not comparable
o1-pro: —, Qwen3.6 27B: 50.3 (#180)
| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| EQ-Bench 4 | — | 1026 |
Frequently asked questions
Is o1-pro better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 41.9 to 31.2 on the Noometry Index.
Which is cheaper, o1-pro or Qwen3.6 27B?
Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
Qwen3.6 27B does, with 262K tokens against 200K.
How many benchmarks do o1-pro and Qwen3.6 27B share?
0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3.6 27B has 11.