Model comparison
GPT-5.1-Codex vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 38.6 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. GPT-5.1-Codex scores higher in 1 category and Qwen3.7 Max in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.4 to 30.3.
- The biggest single-benchmark swing is ProofBench: 9% for GPT-5.1-Codex and 26% for Qwen3.7 Max.
- GPT-5.1-Codex is cheaper at $1.25 / $10 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.1-Codex | Qwen3.7 Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 51.5 |
| Released | 2025-11-12 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $2.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 6 | 33 |
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Category by category
Coding Qwen3.7 Max leads
GPT-5.1-Codex: 41.9 (#116), Qwen3.7 Max: 50.4 (#45)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena WebDev | 1337 | 1515 |
| ALE-Bench | 1,245 | 1,189 |
| SWE-bench Verified | — | 77.3% |
| SWE-bench Verified (bash only) | 66% | — |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 38.0 (#33), Qwen3.7 Max: 22.1 (#135)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| GBAEval | — | 0.4% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 49.2 (#38)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| Epoch Capabilities Index | — | 153.68 |
Math Qwen3.7 Max leads
GPT-5.1-Codex: 30.3 (#235), Qwen3.7 Max: 62.4 (#32)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| ProofBench | 9% | 26% |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | — | 1490 |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 61.6 (#28)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
Multilingual Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Qwen3.7 Max: 65.0 (#54)
| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 38.6 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Qwen3.7 Max?
GPT-5.1-Codex is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Is GPT-5.1-Codex or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 400K.
How many benchmarks do GPT-5.1-Codex and Qwen3.7 Max share?
3 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen3.7 Max has 33.