Model comparison
GPT-5-Codex vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 1 category and Qwen3 Max in 1 category; one gap is clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 22.6.
- Qwen3 Max is cheaper at $1.20 / $6 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 262K.
Side by side
| GPT-5-Codex | Qwen3 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 43.7 |
| Released | 2025-09-15 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.25 | $1.20 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 3 | 33 |
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Category by category
Coding Too close to call
GPT-5-Codex: 42.4 (#103), Qwen3 Max: 43.0 (#93)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1456 |
| ALE-Bench | — | 370.45 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Qwen3 Max: —
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| Vending-Bench 2 | — | 71.56 |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Qwen3 Max: 22.6 (#190)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 72.5% |
| NYT Connections (extended) | — | 30.1% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 82.1% |
| LMCA | — | 28.3% |
| Epoch Capabilities Index | — | 142.38 |
Math Not comparable
GPT-5-Codex: —, Qwen3 Max: 38.7 (#131)
| Benchmark | GPT-5-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-Codex: —, Qwen3 Max: 48.1 (#78)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| GPQA Diamond | — | 72.6% |
| SimpleQA Verified | — | 48.7% |
| LMArena Expert | — | 1455 |
Multilingual Not comparable
GPT-5-Codex: —, Qwen3 Max: 53.7 (#62)
| Benchmark | GPT-5-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-Codex: —, Qwen3 Max: 74.8 (#87)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | — | 1419 |
Long Context Not comparable
GPT-5-Codex: —, Qwen3 Max: 41.6 (#134)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
| LMArena Longer Query | — | 1438 |
Writing & Preference Not comparable
GPT-5-Codex: —, Qwen3 Max: 62.4 (#76)
| Benchmark | GPT-5-Codex | Qwen3 Max |
|---|---|---|
| LMArena Text | — | 1439 |
| LMArena Creative Writing | — | 1402 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is GPT-5-Codex better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-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-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Qwen3 Max better for coding?
They score almost the same on coding (42.4 vs 43.0); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5-Codex and Qwen3 Max share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3 Max has 33.