# GPT-5-Codex vs Qwen1.5-7B

> GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-qwen1-5-7b
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 20.4.
- Qwen1.5-7B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 31.4 |
| Rank | 192 | 273 |
| Context | 400K | — |
| Input $/M | $1.25 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 42.4 (#103)
- Qwen1.5-7B: 32.2 (#276)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1107 |

## Agentic & Tool Use

- GPT-5-Codex: 31.0 (#72)
- Qwen1.5-7B: —

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.9 (#83)
- Qwen1.5-7B: 20.4 (#240)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1065 |

## Math

- GPT-5-Codex: —
- Qwen1.5-7B: 31.4 (#224)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Math | — | 1080 |

## Knowledge

- GPT-5-Codex: —
- Qwen1.5-7B: 28.7 (#243)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | — | 1055 |
| MMLU | — | 62.6% |

## Multilingual

- GPT-5-Codex: —
- Qwen1.5-7B: 28.5 (#271)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | — | 1058 |
| LMArena Chinese | — | 1141 |
| LMArena Russian | — | 1006 |

## Instruction Following

- GPT-5-Codex: —
- Qwen1.5-7B: 54.1 (#281)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | — | 1058 |

## Long Context

- GPT-5-Codex: —
- Qwen1.5-7B: 33.1 (#266)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | — | 1090 |

## Writing & Preference

- GPT-5-Codex: —
- Qwen1.5-7B: 29.6 (#293)

| Benchmark | GPT-5-Codex | Qwen1.5-7B |
|---|---|---|
| LMArena Text | — | 1083 |
| LMArena Creative Writing | — | 1035 |
| LMArena Multi-Turn | — | 1062 |

## FAQ

### Is GPT-5-Codex better than Qwen1.5-7B?

GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.4 on the Noometry Index.

### Is GPT-5-Codex or Qwen1.5-7B better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 32.2 in the Noometry coding category.

### How many benchmarks do GPT-5-Codex and Qwen1.5-7B share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen1.5-7B has 13.