Model comparison
GPT-5.3 Chat vs Qwen3-Coder 480B-A35B Instruct
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.1 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.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)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 63.1 to 55.3.
- 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.
Side by side
| GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.8 | 38.1 |
| Released | 2026-03-03 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $1.75 | $1.50 |
| Output $ / M tokens | $14 | $7.50 |
| Results tracked | 18 | 25 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 41.4 (#124), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1408 | 1412 |
| 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 Not comparable
GPT-5.3 Chat: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
Math Too close to call
GPT-5.3 Chat: 38.2 (#142), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1389 | 1365 |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1397 | 1338 |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1382 | 1346 |
| LMArena Chinese | 1432 | 1357 |
| LMArena French | 1397 | 1398 |
| LMArena German | 1384 | 1325 |
| LMArena Japanese | 1352 | 1310 |
| LMArena Korean | 1346 | 1305 |
| LMArena Russian | 1400 | 1366 |
| LMArena Spanish | 1371 | 1360 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1378 | 1355 |
Long Context Too close to call
GPT-5.3 Chat: 42.6 (#120), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1396 | 1378 |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | GPT-5.3 Chat | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1389 | 1357 |
| LMArena Creative Writing | 1355 | 1333 |
| LMArena Multi-Turn | 1412 | 1365 |
| EQ-Bench Creative Writing | 1690 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen3-Coder 480B-A35B Instruct?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.1 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: 41.4 versus 35.5 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.