# GPT-5-Codex vs Qwen1.5-110B

> GPT-5-Codex is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-qwen1-5-110b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5-Codex leads 41.9 to 32.4.
- Qwen1.5-110B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.3 | 33.6 |
| Rank | 190 | 231 |
| Context | 400K | — |
| Input $/M | $1.25 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 41.9 (#100)
- Qwen1.5-110B: 32.4 (#260)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| WeirdML | 54.5% | — |
| BigCodeBench Instruct | — | 35% |
| LMArena Coding | — | 1184 |
| BigCodeBench Complete | — | 44.4% |

## Agentic & Tool Use

- GPT-5-Codex: 30.8 (#66)
- Qwen1.5-110B: —

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.0 (#80)
- Qwen1.5-110B: 21.7 (#192)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1168 |
| ForecastBench | — | 57.7 |

## Math

- GPT-5-Codex: —
- Qwen1.5-110B: 31.1 (#199)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Math | — | 1185 |

## Knowledge

- GPT-5-Codex: —
- Qwen1.5-110B: 30.7 (#217)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | — | 1144 |

## Multilingual

- GPT-5-Codex: —
- Qwen1.5-110B: 33.8 (#245)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1206 |
| LMArena French | — | 1150 |
| LMArena German | — | 1123 |
| LMArena Japanese | — | 1074 |
| LMArena Korean | — | 1044 |
| LMArena Russian | — | 1118 |
| LMArena Spanish | — | 1141 |

## Instruction Following

- GPT-5-Codex: —
- Qwen1.5-110B: 60.6 (#247)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | — | 1158 |

## Long Context

- GPT-5-Codex: —
- Qwen1.5-110B: 35.0 (#237)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | — | 1157 |

## Writing & Preference

- GPT-5-Codex: —
- Qwen1.5-110B: 38.1 (#250)

| Benchmark | GPT-5-Codex | Qwen1.5-110B |
|---|---|---|
| LMArena Text | — | 1175 |
| LMArena Creative Writing | — | 1148 |
| LMArena Multi-Turn | — | 1160 |

## FAQ

### Is GPT-5-Codex better than Qwen1.5-110B?

GPT-5-Codex is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

### Is GPT-5-Codex or Qwen1.5-110B better for coding?

GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 32.4 in the Noometry coding category.

### How many benchmarks do GPT-5-Codex and Qwen1.5-110B share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen1.5-110B has 20.