# GPT-5.5 Pro vs Qwen3 14B

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 35.5 on the Noometry Index. Qwen3 14B costs 110× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-qwen3-14b
- Last updated: 2026-10-12
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Qwen3 14B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 18.5.
- The biggest single-benchmark swing is Chess Puzzles: 64% for GPT-5.5 Pro and 4% for Qwen3 14B.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 64.3 | 35.5 |
| Rank | 8 | 225 |
| Context | 1.05M | 131K |
| Input $/M | $30 | $0.35 |
| Output $/M | $180 | $1.40 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- Qwen3 14B: 37.3 (#195)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| SciCode | — | 31.6% |

## Agentic & Tool Use

- GPT-5.5 Pro: —
- Qwen3 14B: 29.6 (#83)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |

## Reasoning

- GPT-5.5 Pro: 73.3 (#10)
- Qwen3 14B: 18.5 (#280)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| CritPt | 30.6% | 0% |
| Chess Puzzles | 64% | 4% |
| DTBench | 96% | 64% |
| LMCA | 53.9% | 18.2% |
| Epoch Capabilities Index | 162.07 | 138.23 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 49.1% |
| ARC-AGI-1 | 96.5% | — |

## Math

- GPT-5.5 Pro: 84.0 (#10)
- Qwen3 14B: 38.6 (#133)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 66.4% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |

## Knowledge

- GPT-5.5 Pro: 64.1 (#19)
- Qwen3 14B: 39.3 (#134)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| GPQA Diamond | 93.9% | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |

## Long Context

- GPT-5.5 Pro: —
- Qwen3 14B: 38.1 (#204)

| Benchmark | GPT-5.5 Pro | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |

## FAQ

### Is GPT-5.5 Pro better than Qwen3 14B?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 35.5 on the Noometry Index. Qwen3 14B costs 110× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.5 Pro or Qwen3 14B?

Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 131K.

### How many benchmarks do GPT-5.5 Pro and Qwen3 14B share?

7 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Qwen3 14B has 12.