# GPT-5.3 Codex vs Qwen2.5-Coder-32B

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 6.5× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen2.5-Coder-32B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 22.4.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 32.9 |
| Rank | 61 | 239 |
| Context | 400K | 33K |
| Input $/M | $1.75 | $0.66 |
| Output $/M | $14 | $1 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| LMArena Coding | — | 1276 |
| BigCodeBench Complete | — | 58% |
| ALE-Bench | 1,655 | — |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Qwen2.5-Coder-32B: —

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 119.41 |
| LiveBench Reasoning | — | 42.1% |
| LMArena Hard Prompts | — | 1251 |
| LiveBench Data Analysis | — | 49.9% |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Math | — | 46.6% |
| LMArena Math | — | 1251 |
| GSM8K | — | 93% |

## Knowledge

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | — | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multilingual

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | — | 1205 |
| LMArena Chinese | — | 1222 |
| LMArena Russian | — | 1228 |

## Instruction Following

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LiveBench Instruction Following | — | 58.7% |
| LMArena Instruction Following | — | 1223 |

## Long Context

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | — | 1251 |

## Writing & Preference

- GPT-5.3 Codex: —
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | GPT-5.3 Codex | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | — | 1230 |
| LMArena Creative Writing | — | 1174 |
| LMArena Multi-Turn | — | 1222 |
| LiveBench Language | — | 23.3% |

## FAQ

### Is GPT-5.3 Codex better than Qwen2.5-Coder-32B?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 32.9 on the Noometry Index. Qwen2.5-Coder-32B costs 6.5× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Codex or Qwen2.5-Coder-32B?

Qwen2.5-Coder-32B is cheaper. It lists at $0.66 per million input tokens and $1 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Qwen2.5-Coder-32B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 33K.

### How many benchmarks do GPT-5.3 Codex and Qwen2.5-Coder-32B share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen2.5-Coder-32B has 31.