Model comparison
GPT-5.3 Chat vs Qwen3-4B
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-5.3 Chat leads 28.5 to 19.2.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | Qwen3-4B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.8 | 31.9 |
| Released | 2026-03-03 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
GPT-5.3 Chat: 41.4 (#124), Qwen3-4B: —
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| LMArena Coding | 1408 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Chat: —, Qwen3-4B: 27.6 (#100)
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), Qwen3-4B: 19.2 (#268)
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1399 | — |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), Qwen3-4B: 29.7 (#240)
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1389 | — |
Knowledge GPT-5.3 Chat leads
GPT-5.3 Chat: 38.8 (#140), Qwen3-4B: 33.0 (#208)
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1397 | — |
Multilingual Not comparable
GPT-5.3 Chat: 50.3 (#124), Qwen3-4B: —
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1382 | — |
| LMArena Chinese | 1432 | — |
| LMArena French | 1397 | — |
| LMArena German | 1384 | — |
| LMArena Japanese | 1352 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1400 | — |
| LMArena Spanish | 1371 | — |
Instruction Following Not comparable
GPT-5.3 Chat: 72.8 (#129), Qwen3-4B: —
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1378 | — |
Long Context Not comparable
GPT-5.3 Chat: 42.6 (#120), Qwen3-4B: —
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1396 | — |
Writing & Preference Not comparable
GPT-5.3 Chat: 63.1 (#68), Qwen3-4B: —
| Benchmark | GPT-5.3 Chat | Qwen3-4B |
|---|---|---|
| LMArena Text | 1389 | — |
| LMArena Creative Writing | 1355 | — |
| EQ-Bench Creative Writing | 1690 | — |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is GPT-5.3 Chat better than Qwen3-4B?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 31.9 on the Noometry Index.
How many benchmarks do GPT-5.3 Chat and Qwen3-4B share?
0 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Qwen3-4B has 6.