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

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 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 Chat's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-chat-vs-qwen2-5-coder-32b
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Qwen2.5-Coder-32B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 41.8.
- Qwen2.5-Coder-32B is cheaper at $0.66 / $1 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GPT-5.3 Chat accepts more context: 128K tokens versus 33K.
- Qwen2.5-Coder-32B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 32.9 |
| Rank | 109 | 239 |
| Context | 128K | 33K |
| Input $/M | $1.75 | $0.66 |
| Output $/M | $14 | $1 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- Qwen2.5-Coder-32B: 22.4 (#328)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Coding | 1408 | 1276 |
| SWE-bench Verified (bash only) | — | 9% |
| Aider Polyglot | — | 16.4% |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- Qwen2.5-Coder-32B: 20.4 (#220)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1251 |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.41 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- Qwen2.5-Coder-32B: 30.8 (#203)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1389 | 1251 |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- Qwen2.5-Coder-32B: 32.9 (#200)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1397 | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- Qwen2.5-Coder-32B: 38.0 (#230)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1383 | 1205 |
| LMArena Chinese | 1433 | 1222 |
| LMArena Russian | 1400 | 1228 |
| LMArena French | 1398 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1351 | — |
| LMArena Korean | 1347 | — |
| LMArena Spanish | 1371 | — |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- Qwen2.5-Coder-32B: 61.6 (#240)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1378 | 1223 |
| LiveBench Instruction Following | — | 58.7% |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- Qwen2.5-Coder-32B: 37.9 (#204)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1396 | 1251 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- Qwen2.5-Coder-32B: 41.8 (#235)

| Benchmark | GPT-5.3 Chat | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1389 | 1230 |
| LMArena Creative Writing | 1356 | 1174 |
| LMArena Multi-Turn | 1413 | 1222 |
| EQ-Bench Creative Writing | 1690 | — |
| LiveBench Language | — | 23.3% |

## FAQ

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

GPT-5.3 Chat is the stronger model overall, scoring 42.1 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 Chat's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Chat 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 Chat lists at $1.75 and $14.

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

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 22.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 33K.

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

12 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen2.5-Coder-32B has 31.