Model comparison
GPT-5.3 Codex vs Qwen3-4B
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 47.8 to 27.3.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Qwen3-4B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 31.5 |
| Released | 2026-02-05 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 6 |
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Category by category
Coding Not comparable
GPT-5.3 Codex: 48.5 (#51), Qwen3-4B: —
| Benchmark | GPT-5.3 Codex | Qwen3-4B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.3 Codex: 47.8 (#9), Qwen3-4B: 27.3 (#94)
| Benchmark | GPT-5.3 Codex | Qwen3-4B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 35.7% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Qwen3-4B: 18.5 (#264)
| Benchmark | GPT-5.3 Codex | Qwen3-4B |
|---|---|---|
| Chess Puzzles | — | 4% |
| Epoch Capabilities Index | 156.84 | — |
Math Not comparable
GPT-5.3 Codex: —, Qwen3-4B: 28.5 (#228)
| Benchmark | GPT-5.3 Codex | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
Knowledge Not comparable
GPT-5.3 Codex: —, Qwen3-4B: 33.0 (#198)
| Benchmark | GPT-5.3 Codex | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
Frequently asked questions
Is GPT-5.3 Codex better than Qwen3-4B?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 31.5 on the Noometry Index.
How many benchmarks do GPT-5.3 Codex and Qwen3-4B share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3-4B has 6.