# GPT-5-Codex vs Qwen1.5-72B

> GPT-5-Codex is the stronger model overall, scoring 37.9 to 30.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-qwen1-5-72b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5-Codex leads 42.4 to 31.9.
- Qwen1.5-72B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 30.8 |
| Rank | 192 | 285 |
| Context | 400K | — |
| Input $/M | $1.25 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Qwen1.5-72B: 31.9 (#277)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| WeirdML | 54.5% | — |
| BigCodeBench Instruct | — | 33.2% |
| LMArena Coding | — | 1165 |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Qwen1.5-72B: —

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Qwen1.5-72B: 22.2 (#203)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1148 |

## Math

- GPT-5-Codex: —
- Qwen1.5-72B: 33.2 (#205)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| LMArena Math | — | 1164 |

## Knowledge

- GPT-5-Codex: —
- Qwen1.5-72B: 11.5 (#300)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |

## Multilingual

- GPT-5-Codex: —
- Qwen1.5-72B: 33.2 (#253)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | — | 1135 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |

## Instruction Following

- GPT-5-Codex: —
- Qwen1.5-72B: 59.3 (#256)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | — | 1141 |

## Long Context

- GPT-5-Codex: —
- Qwen1.5-72B: 35.1 (#243)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | — | 1157 |

## Writing & Preference

- GPT-5-Codex: —
- Qwen1.5-72B: 37.3 (#258)

| Benchmark | GPT-5-Codex | Qwen1.5-72B |
|---|---|---|
| LMArena Text | — | 1166 |
| LMArena Creative Writing | — | 1137 |
| LMArena Multi-Turn | — | 1160 |

## FAQ

### Is GPT-5-Codex better than Qwen1.5-72B?

GPT-5-Codex is the stronger model overall, scoring 37.9 to 30.8 on the Noometry Index.

### Is GPT-5-Codex or Qwen1.5-72B better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 31.9 in the Noometry coding category.

### How many benchmarks do GPT-5-Codex and Qwen1.5-72B share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen1.5-72B has 22.