# GPT-5.2 Codex vs Qwen3.6 Max Preview

> Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 42.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-2-codex-vs-qwen3-6-max-preview
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.2 Codex scores higher in 0 categories and Qwen3.6 Max Preview in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Qwen3.6 Max Preview leads 48.6 to 45.4.
- Qwen3.6 Max Preview is cheaper at $1.30 / $7.80 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 262K.

## Snapshot

| | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.2 | 51.1 |
| Rank | 107 | 36 |
| Context | 400K | 262K |
| Input $/M | $1.75 | $1.30 |
| Output $/M | $14 | $7.80 |
| Weights | Proprietary | Proprietary |

## Coding

- GPT-5.2 Codex: 45.4 (#66)
- Qwen3.6 Max Preview: 48.6 (#50)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| LMArena WebDev | 1339 | 1482 |
| SWE-bench Verified | — | 76.7% |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| LMArena Coding | — | 1472 |
| ALE-Bench | 1,300 | — |

## Agentic & Tool Use

- GPT-5.2 Codex: 40.7 (#20)
- Qwen3.6 Max Preview: —

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| Terminal-Bench | 66.5% | — |
| Vending-Bench 2 | — | 4,254 |

## Reasoning

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 40.8 (#47)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| SimpleBench | — | 63% |
| NYT Connections (extended) | — | 74.1% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | — | 1457 |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 87.2% |
| LMCA | — | 42.5% |
| Epoch Capabilities Index | — | 149.27 |

## Math

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 52.2 (#40)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 91.1% |
| LMArena Math | — | 1465 |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 57.6 (#35)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | — | 87.4% |
| SimpleQA Verified | — | 52% |
| LMArena Expert | — | 1476 |

## Multilingual

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 54.3 (#46)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | — | 1436 |
| LMArena Chinese | — | 1487 |
| LMArena French | — | 1449 |
| LMArena Russian | — | 1444 |
| LMArena Spanish | — | 1452 |

## Instruction Following

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 75.8 (#51)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | — | 1437 |

## Long Context

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 44.6 (#59)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | — | 1457 |

## Writing & Preference

- GPT-5.2 Codex: —
- Qwen3.6 Max Preview: 64.0 (#58)

| Benchmark | GPT-5.2 Codex | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1435 |
| LMArena Multi-Turn | — | 1456 |

## FAQ

### Is GPT-5.2 Codex better than Qwen3.6 Max Preview?

Qwen3.6 Max Preview is the stronger model overall, scoring 51.1 to 42.2 on the Noometry Index.

### Which is cheaper, GPT-5.2 Codex or Qwen3.6 Max Preview?

Qwen3.6 Max Preview is cheaper. It lists at $1.30 per million input tokens and $7.80 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is GPT-5.2 Codex or Qwen3.6 Max Preview better for coding?

Qwen3.6 Max Preview scores higher on coding benchmarks: 48.6 versus 45.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 262K.

### How many benchmarks do GPT-5.2 Codex and Qwen3.6 Max Preview share?

1 benchmark has published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3.6 Max Preview has 29.