# GPT-5.3 Codex vs Qwen1.5-14B

> GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 32.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-qwen1-5-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 33.1.
- Qwen1.5-14B has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.8 | 32.7 |
| Rank | 69 | 253 |
| Context | 400K | — |
| Input $/M | $1.75 | — |
| Output $/M | $14 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.6 (#56)
- Qwen1.5-14B: 33.1 (#263)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1138 |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 48.0 (#9)
- Qwen1.5-14B: —

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Qwen1.5-14B: 21.4 (#223)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | — | 1113 |
| Epoch Capabilities Index | 156.77 | — |

## Math

- GPT-5.3 Codex: —
- Qwen1.5-14B: 32.4 (#215)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Math | — | 1125 |

## Knowledge

- GPT-5.3 Codex: —
- Qwen1.5-14B: 29.8 (#232)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | — | 1094 |
| MMLU | — | 68.6% |

## Multilingual

- GPT-5.3 Codex: —
- Qwen1.5-14B: 30.7 (#262)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |

## Instruction Following

- GPT-5.3 Codex: —
- Qwen1.5-14B: 56.8 (#271)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |

## Long Context

- GPT-5.3 Codex: —
- Qwen1.5-14B: 33.7 (#257)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |

## Writing & Preference

- GPT-5.3 Codex: —
- Qwen1.5-14B: 33.6 (#276)

| Benchmark | GPT-5.3 Codex | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |

## FAQ

### Is GPT-5.3 Codex better than Qwen1.5-14B?

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 32.7 on the Noometry Index.

### Is GPT-5.3 Codex or Qwen1.5-14B better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 33.1 in the Noometry coding category.

### How many benchmarks do GPT-5.3 Codex and Qwen1.5-14B share?

0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen1.5-14B has 17.