# o1-pro vs Qwen3 14B

> Qwen3 14B is the stronger model overall, scoring 35.5 to 31.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o1-pro-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Qwen3 14B leads 39.3 to 29.7.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | o1-pro | Qwen3 14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 31.5 | 35.5 |
| Rank | 271 | 225 |
| Context | 200K | 131K |
| Input $/M | $150 | $0.35 |
| Output $/M | $600 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- o1-pro: —
- Qwen3 14B: 37.3 (#195)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |

## Agentic & Tool Use

- o1-pro: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- o1-pro: 20.4 (#239)
- Qwen3 14B: 18.5 (#280)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| ARC-AGI-1 | 23.3% | — |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 6.1% | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |

## Math

- o1-pro: —
- Qwen3 14B: 38.6 (#133)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |

## Knowledge

- o1-pro: 29.7 (#234)
- Qwen3 14B: 39.3 (#134)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Humanity's Last Exam | 8.1% | — |
| Vectara Hallucination Rate | — | 5.4% |

## Long Context

- o1-pro: —
- Qwen3 14B: 38.1 (#204)

| Benchmark | o1-pro | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## FAQ

### Is o1-pro better than Qwen3 14B?

Qwen3 14B is the stronger model overall, scoring 35.5 to 31.5 on the Noometry Index.

### Which is cheaper, o1-pro or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; o1-pro lists at $150 and $600.

### Which has the bigger context window?

o1-pro does, with 200K tokens against 131K.

### How many benchmarks do o1-pro and Qwen3 14B share?

0 benchmarks have published results for both models. o1-pro has 3 scored results on Noometry and Qwen3 14B has 12.