# GPT-5.3 Codex vs Qwen2.5 32B Instruct

> GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 29.7 on the Noometry Index. Qwen2.5 32B Instruct costs 3.9× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-3-codex-vs-qwen2-5-32b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Qwen2.5 32B Instruct in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 38.1.
- Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 131K.
- Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 29.7 |
| Rank | 61 | 291 |
| Context | 400K | 131K |
| Input $/M | $1.75 | $0.70 |
| Output $/M | $14 | $2.80 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.3 Codex: 48.5 (#51)
- Qwen2.5 32B Instruct: 38.1 (#165)

| Benchmark | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| BigCodeBench Instruct | — | 45% |
| BigCodeBench Complete | — | 52.3% |
| ALE-Bench | 1,655 | — |

## Agentic & Tool Use

- GPT-5.3 Codex: 47.8 (#9)
- Qwen2.5 32B Instruct: —

| Benchmark | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |

## Reasoning

- GPT-5.3 Codex: —
- Qwen2.5 32B Instruct: 18.5 (#262)

| Benchmark | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 128.52 |
| Chess Puzzles | — | 0% |

## Math

- GPT-5.3 Codex: —
- Qwen2.5 32B Instruct: 15.3 (#289)

| Benchmark | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| MATH Level 5 | — | 56.1% |

## Knowledge

- GPT-5.3 Codex: —
- Qwen2.5 32B Instruct: 24.9 (#259)

| Benchmark | GPT-5.3 Codex | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |

## FAQ

### Is GPT-5.3 Codex better than Qwen2.5 32B Instruct?

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 29.7 on the Noometry Index. Qwen2.5 32B Instruct costs 3.9× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.3 Codex or Qwen2.5 32B Instruct?

Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

### Is GPT-5.3 Codex or Qwen2.5 32B Instruct better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 38.1 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 131K.

### How many benchmarks do GPT-5.3 Codex and Qwen2.5 32B Instruct share?

1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen2.5 32B Instruct has 7.