Model comparison
GPT-5.3 Codex vs Qwen3 Max
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.7 on the Noometry Index. Qwen3 Max costs 2.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen3 Max in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 43.0.
- Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 262K.
Side by side
| GPT-5.3 Codex | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.8 | 43.7 |
| Released | 2026-02-05 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.75 | $1.20 |
| Output $ / M tokens | $14 | $6 |
| Results tracked | 8 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), Qwen3 Max: 43.0 (#93)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| ALE-Bench | 1,655 | 370.45 |
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1456 |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), Qwen3 Max: —
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | 5,940 | 71.56 |
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 22.6 (#190)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| Epoch Capabilities Index | 156.77 | 142.38 |
| Kagi LLM Benchmark | — | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
Math Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 38.7 (#131)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 18.9% |
| OTIS Mock AIME 2024-2025 | — | 73.3% |
| LMArena Math | — | 1446 |
| MATH Level 5 | — | 97.1% |
Knowledge Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 48.1 (#78)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1455 |
Multilingual Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 53.7 (#62)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| LMArena Non-English | — | 1429 |
| LMArena Chinese | — | 1478 |
| LMArena French | — | 1449 |
| LMArena German | — | 1463 |
| LMArena Japanese | — | 1397 |
| LMArena Korean | — | 1399 |
| LMArena Russian | — | 1428 |
| LMArena Spanish | — | 1462 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 74.8 (#87)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | — | 1419 |
Long Context Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 41.6 (#134)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1438 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Qwen3 Max: 62.4 (#76)
| Benchmark | GPT-5.3 Codex | Qwen3 Max |
|---|---|---|
| LMArena Text | — | 1439 |
| LMArena Creative Writing | — | 1402 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is GPT-5.3 Codex better than Qwen3 Max?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.7 on the Noometry Index. Qwen3 Max costs 2.0× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Codex or Qwen3 Max?
Qwen3 Max is cheaper. It lists at $1.20 per million input tokens and $6 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or Qwen3 Max better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 43.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.3 Codex and Qwen3 Max share?
3 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen3 Max has 33.