# o3-pro vs Qwen-14B

> o3-pro is the stronger model overall, scoring 42.9 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/o3-pro-vs-qwen-14b
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. o3-pro scores higher in 4 categories and Qwen-14B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 31.3.
- Qwen-14B has downloadable open weights; the other is API-only.

## Snapshot

| | o3-pro | Qwen-14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.9 | 31.4 |
| Rank | 105 | 275 |
| Context | 200K | — |
| Input $/M | $20 | — |
| Output $/M | $80 | — |
| Weights | Proprietary | Open |

## Coding

- o3-pro: 55.5 (#24)
- Qwen-14B: 31.2 (#288)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| Aider Polyglot | 84.9% | — |
| WeirdML | 58.2% | — |
| LMArena Coding | — | 1071 |

## Reasoning

- o3-pro: 23.8 (#171)
- Qwen-14B: 19.6 (#257)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| Epoch Capabilities Index | 147.42 | 113.03 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 72.1% | — |
| ARC-AGI-1 | 59.3% | — |
| LMArena Hard Prompts | — | 1027 |
| DTBench | 86.9% | — |
| LMCA | 38.5% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |

## Math

- o3-pro: —
- Qwen-14B: 31.2 (#227)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| LMArena Math | — | 1068 |
| GSM8K | — | 61.3% |

## Knowledge

- o3-pro: 29.5 (#238)
- Qwen-14B: —

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 23.3% | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |

## Multilingual

- o3-pro: —
- Qwen-14B: 27.5 (#275)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| LMArena Non-English | — | 1041 |
| LMArena Chinese | — | 1077 |

## Instruction Following

- o3-pro: —
- Qwen-14B: 52.4 (#289)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |

## Long Context

- o3-pro: 72.2 (#1)
- Qwen-14B: 31.3 (#280)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| Fiction.LiveBench | 97.2% | — |
| LMArena Longer Query | — | 1028 |

## Writing & Preference

- o3-pro: 57.1 (#133)
- Qwen-14B: 27.6 (#299)

| Benchmark | o3-pro | Qwen-14B |
|---|---|---|
| LMArena Text | — | 1051 |
| LMArena Creative Writing | — | 1028 |
| Short-Story Creative Writing | 84.4% | — |
| LMArena Multi-Turn | — | 1022 |

## FAQ

### Is o3-pro better than Qwen-14B?

o3-pro is the stronger model overall, scoring 42.9 to 31.4 on the Noometry Index.

### Is o3-pro or Qwen-14B better for coding?

o3-pro scores higher on coding benchmarks: 55.5 versus 31.2 in the Noometry coding category.

### How many benchmarks do o3-pro and Qwen-14B share?

1 benchmark has published results for both models. o3-pro has 12 scored results on Noometry and Qwen-14B has 18.