# o3-pro vs Qwen3.6 27B

> o3-pro and Qwen3.6 27B score almost the same on the Noometry Index (42.7 vs 41.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/o3-pro-vs-qwen3-6-27b
- Last updated: 2026-10-10
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. o3-pro scores higher in 2 categories and Qwen3.6 27B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 29.0.
- The biggest single-benchmark swing is DTBench: 86.9% for o3-pro and 78.1% for Qwen3.6 27B.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $20 / $80 for o3-pro.
- Qwen3.6 27B accepts more context: 262K tokens versus 200K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.

## Snapshot

| | o3-pro | Qwen3.6 27B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.7 | 41.9 |
| Rank | 94 | 112 |
| Context | 200K | 262K |
| Input $/M | $20 | $0.60 |
| Output $/M | $80 | $3.60 |
| Weights | Proprietary | Open |

## Coding

- o3-pro: 55.1 (#22)
- Qwen3.6 27B: 38.5 (#162)

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| SciCode | — | 37.3% |
| WeirdML | 58.2% | — |

## Reasoning

- o3-pro: 24.1 (#152)
- Qwen3.6 27B: 24.4 (#148)

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| DTBench | 86.9% | 78.1% |
| LMCA | 38.5% | 34.5% |
| Epoch Capabilities Index | 147.43 | 146.47 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| ARC-AGI-1 | 59.3% | — |
| CritPt | — | 0.9% |
| Chess Puzzles | — | 22% |
| Mystery Game Puzzles | — | 7% |

## Math

- o3-pro: —
- Qwen3.6 27B: 47.5 (#56)

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 35.1% |
| OTIS Mock AIME 2024-2025 | — | 91.1% |

## Knowledge

- o3-pro: 29.0 (#234)
- Qwen3.6 27B: 52.4 (#58)

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | — | 85.9% |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 23.3% | — |

## Long Context

- o3-pro: 72.1 (#1)
- Qwen3.6 27B: —

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| Fiction.LiveBench | 97.2% | — |

## Writing & Preference

- o3-pro: 57.1 (#128)
- Qwen3.6 27B: 50.3 (#180)

| Benchmark | o3-pro | Qwen3.6 27B |
|---|---|---|
| Short-Story Creative Writing | 84.4% | — |
| EQ-Bench 4 | — | 1026 |

## FAQ

### Is o3-pro better than Qwen3.6 27B?

o3-pro and Qwen3.6 27B score almost the same on the Noometry Index (42.7 vs 41.9), so choose on price, context window or the category you care about most.

### Which is cheaper, o3-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; o3-pro lists at $20 and $80.

### Is o3-pro or Qwen3.6 27B better for coding?

o3-pro scores higher on coding benchmarks: 55.1 versus 38.5 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.6 27B does, with 262K tokens against 200K.

### How many benchmarks do o3-pro and Qwen3.6 27B share?

3 benchmarks have published results for both models. o3-pro has 12 scored results on Noometry and Qwen3.6 27B has 11.