Model comparison
GPT-5.3 Chat vs Qwen3 Coder Next
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 17× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-5.3 Chat leads 27.3 to 21.7.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- Qwen3 Coder Next accepts more context: 262K tokens versus 128K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.1 | 33.8 |
| Released | 2026-03-03 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $1.75 | $0.12 |
| Output $ / M tokens | $14 | $0.80 |
| Results tracked | 18 | 3 |
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Category by category
Coding GPT-5.3 Chat leads
GPT-5.3 Chat: 40.8 (#124), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1408 | — |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 27.3 (#105), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1399 | — |
Math Not comparable
GPT-5.3 Chat: 35.4 (#146), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1389 | — |
Knowledge Not comparable
GPT-5.3 Chat: 38.2 (#137), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1397 | — |
Multilingual Not comparable
GPT-5.3 Chat: 50.5 (#119), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1383 | — |
| LMArena Chinese | 1433 | — |
| LMArena French | 1398 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1351 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |
Instruction Following Not comparable
GPT-5.3 Chat: 73.0 (#124), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1378 | — |
Long Context Not comparable
GPT-5.3 Chat: 42.6 (#115), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1396 | — |
Writing & Preference Not comparable
GPT-5.3 Chat: 63.3 (#65), Qwen3 Coder Next: —
| Benchmark | GPT-5.3 Chat | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1356 | — |
| EQ-Bench Creative Writing | 1690 | — |
| LMArena Multi-Turn | 1413 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen3 Coder Next?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 17× 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 Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or Qwen3 Coder Next better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 128K.
How many benchmarks do GPT-5.3 Chat and Qwen3 Coder Next share?
0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3 Coder Next has 3.