# GPT-5.3 Chat vs Qwen3-Coder 480B-A35B Instruct

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 1.6× 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-qwen3-coder-480b-a35b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 55.5.
- Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 128K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 37.7 |
| Rank | 109 | 186 |
| Context | 128K | 262K |
| Input $/M | $1.75 | $1.50 |
| Output $/M | $14 | $7.50 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Chat: 40.8 (#124)
- Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1408 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |

## Agentic & Tool Use

- GPT-5.3 Chat: —
- Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |

## Reasoning

- GPT-5.3 Chat: 27.3 (#105)
- Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |

## Math

- GPT-5.3 Chat: 35.4 (#146)
- Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1389 | 1364 |

## Knowledge

- GPT-5.3 Chat: 38.2 (#137)
- Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1397 | 1337 |

## Multilingual

- GPT-5.3 Chat: 50.5 (#119)
- Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1383 | 1345 |
| LMArena Chinese | 1433 | 1356 |
| LMArena French | 1398 | 1394 |
| LMArena German | 1384 | 1324 |
| LMArena Japanese | 1351 | 1309 |
| LMArena Korean | 1347 | 1307 |
| LMArena Russian | 1400 | 1367 |
| LMArena Spanish | 1371 | 1360 |

## Instruction Following

- GPT-5.3 Chat: 73.0 (#124)
- Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1378 | 1356 |

## Long Context

- GPT-5.3 Chat: 42.6 (#115)
- Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1396 | 1379 |

## Writing & Preference

- GPT-5.3 Chat: 63.3 (#65)
- Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)

| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1389 | 1356 |
| LMArena Creative Writing | 1356 | 1333 |
| LMArena Multi-Turn | 1413 | 1365 |
| EQ-Bench Creative Writing | 1690 | — |

## FAQ

### Is GPT-5.3 Chat better than Qwen3-Coder 480B-A35B Instruct?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 37.7 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 1.6× 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 Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

### Is GPT-5.3 Chat or Qwen3-Coder 480B-A35B Instruct better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 36.2 in the Noometry coding category.

### Which has the bigger context window?

Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 128K.

### How many benchmarks do GPT-5.3 Chat and Qwen3-Coder 480B-A35B Instruct share?

17 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.