# o1-pro vs Qwen3.6 27B

> Qwen3.6 27B is the stronger model overall, scoring 41.9 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o1-pro-vs-qwen3-6-27b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## 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.

## Snapshot

| | o1-pro | Qwen3.6 27B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.2 | 41.9 |
| Rank | 264 | 112 |
| Context | 200K | 262K |
| Input $/M | $150 | $0.60 |
| Output $/M | $600 | $3.60 |
| Weights | Proprietary | Open |

## Coding

- o1-pro: —
- Qwen3.6 27B: 38.5 (#162)

| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| SciCode | — | 37.3% |

## Reasoning

- 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

- 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

- 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

- o1-pro: —
- Qwen3.6 27B: 50.3 (#180)

| Benchmark | o1-pro | Qwen3.6 27B |
|---|---|---|
| EQ-Bench 4 | — | 1026 |

## FAQ

### 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.