# Devstral Small 2505 vs GPT-5.2 Codex

> GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 34.3 on the Noometry Index. Devstral Small 2505 costs 32× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/devstral-small-vs-gpt-5-2-codex
- Last updated: 2026-10-12
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Devstral Small 2505 scores higher in 0 categories and GPT-5.2 Codex in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 38.9.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 56.4% for Devstral Small 2505 and 72.8% for GPT-5.2 Codex.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.

## Snapshot

| | Devstral Small 2505 | GPT-5.2 Codex |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 34.3 | 42.6 |
| Rank | 233 | 111 |
| Context | 128K | 400K |
| Input $/M | $0.10 | $1.75 |
| Output $/M | $0.30 | $14 |
| Weights | Open | Proprietary |

## Coding

- Devstral Small 2505: 38.9 (#166)
- GPT-5.2 Codex: 45.5 (#71)

| Benchmark | Devstral Small 2505 | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| SciCode | 28.8% | — |
| ALE-Bench | — | 1,300 |

## Agentic & Tool Use

- Devstral Small 2505: —
- GPT-5.2 Codex: 41.0 (#22)

| Benchmark | Devstral Small 2505 | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |

## Reasoning

- Devstral Small 2505: 19.7 (#252)
- GPT-5.2 Codex: —

| Benchmark | Devstral Small 2505 | GPT-5.2 Codex |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| CritPt | 0% | — |

## FAQ

### Is Devstral Small 2505 better than GPT-5.2 Codex?

GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 34.3 on the Noometry Index. Devstral Small 2505 costs 32× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.

### Which is cheaper, Devstral Small 2505 or GPT-5.2 Codex?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.

### Is Devstral Small 2505 or GPT-5.2 Codex better for coding?

GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 38.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.2 Codex does, with 400K tokens against 128K.

### How many benchmarks do Devstral Small 2505 and GPT-5.2 Codex share?

1 benchmark has published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GPT-5.2 Codex has 5.