Model comparison
GPT-5.1-Codex vs Qwen2.5-Max
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 38.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen2.5-Max leads 34.3 to 29.3.
Side by side
| GPT-5.1-Codex | Qwen2.5-Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 40.1 |
| Released | 2025-11-12 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 27 |
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Category by category
Coding Too close to call
GPT-5.1-Codex: 41.7 (#107), Qwen2.5-Max: 41.2 (#118)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| LiveBench Coding | — | 64.4% |
| LMArena Coding | — | 1359 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 37.8 (#32), Qwen2.5-Max: —
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 24.6 (#144)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| LiveBench Reasoning | — | 51.4% |
| LMArena Hard Prompts | — | 1360 |
| LiveBench Data Analysis | — | 67.9% |
| Epoch Capabilities Index | — | 132.54 |
| LiveBench | — | 62.3% |
Math Qwen2.5-Max leads
GPT-5.1-Codex: 29.3 (#218), Qwen2.5-Max: 34.3 (#162)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| ProofBench | 9% | — |
| LiveBench Math | — | 58.4% |
| LMArena Math | — | 1369 |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 34.8 (#181)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| Confabulations | — | 21.8% |
| LMArena Expert | — | 1337 |
Multilingual Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 48.3 (#140)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | — | 1352 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1396 |
| LMArena German | — | 1350 |
| LMArena Japanese | — | 1299 |
| LMArena Korean | — | 1304 |
| LMArena Russian | — | 1353 |
| LMArena Spanish | — | 1377 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 71.5 (#147)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| LiveBench Instruction Following | — | 75.3% |
| LMArena Instruction Following | — | 1335 |
Long Context Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 41.3 (#137)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | — | 1358 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Qwen2.5-Max: 55.6 (#141)
| Benchmark | GPT-5.1-Codex | Qwen2.5-Max |
|---|---|---|
| LMArena Text | — | 1367 |
| LMArena Creative Writing | — | 1339 |
| Short-Story Creative Writing | — | 72.9% |
| LMArena Multi-Turn | — | 1364 |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen2.5-Max?
Qwen2.5-Max is the stronger model overall, scoring 40.1 to 38.2 on the Noometry Index.
Is GPT-5.1-Codex or Qwen2.5-Max better for coding?
They score almost the same on coding (41.7 vs 41.2); test both on your own repository before choosing.
How many benchmarks do GPT-5.1-Codex and Qwen2.5-Max share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen2.5-Max has 27.