# GPT-5.1-Codex vs Qwen3.7 Max

> Qwen3.7 Max is the stronger model overall, scoring 51.4 to 38.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-1-codex-vs-qwen3-7-max
- Last updated: 2026-10-10
- Shared benchmarks: 3

## 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 62.3 to 29.3.
- 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.

## Snapshot

| | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 51.4 |
| Rank | 178 | 35 |
| Context | 400K | 1M |
| Input $/M | $1.25 | $2.50 |
| Output $/M | $10 | $7.50 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.1-Codex: 41.7 (#107)
- Qwen3.7 Max: 50.2 (#43)

| 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: 37.8 (#32)
- Qwen3.7 Max: 21.8 (#129)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| GBAEval | — | 0.4% |
| METR Time Horizons | 70.8% | — |

## Reasoning

- GPT-5.1-Codex: —
- Qwen3.7 Max: 48.4 (#36)

| 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 | — | 153.74 |

## Math

- GPT-5.1-Codex: 29.3 (#218)
- Qwen3.7 Max: 62.3 (#26)

| 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 | — | 1488 |

## Knowledge

- GPT-5.1-Codex: —
- Qwen3.7 Max: 61.7 (#24)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |

## Multilingual

- GPT-5.1-Codex: —
- Qwen3.7 Max: 57.1 (#13)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1475 |
| LMArena Chinese | — | 1533 |
| LMArena Russian | — | 1482 |

## Instruction Following

- GPT-5.1-Codex: —
- Qwen3.7 Max: 76.9 (#34)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |

## Long Context

- GPT-5.1-Codex: —
- Qwen3.7 Max: 45.4 (#34)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1484 |

## Writing & Preference

- GPT-5.1-Codex: —
- Qwen3.7 Max: 65.2 (#52)

| Benchmark | GPT-5.1-Codex | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1450 |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1482 |

## FAQ

### Is GPT-5.1-Codex better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.4 to 38.2 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: 50.2 versus 41.7 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.