# Devstral Small 2505 vs GPT-5 Pro

> GPT-5 Pro is the stronger model overall, scoring 46.2 to 33.9 on the Noometry Index. Devstral Small 2505 costs 275× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

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

## Summary

- They share 1 benchmark with published results for both. Devstral Small 2505 scores higher in 0 categories and GPT-5 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 39.2 to 19.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.7% for Devstral Small 2505 and 76.8% for GPT-5 Pro.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro 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 Pro |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 33.9 | 46.2 |
| Rank | 228 | 58 |
| Context | 128K | 400K |
| Input $/M | $0.10 | $15 |
| Output $/M | $0.30 | $120 |
| Weights | Open | Proprietary |

## Coding

- Devstral Small 2505: 38.6 (#160)
- GPT-5 Pro: 43.4 (#77)

| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| WeirdML | — | 60.4% |
| AlgoTune | — | 1.31 |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- GPT-5 Pro: 39.2 (#52)

| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 76.8% |
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| ARC-AGI-1 | — | 70.2% |
| CritPt | 0% | — |
| EnigmaEval | — | 18.8% |
| Epoch Capabilities Index | — | 150.26 |

## Math

- Devstral Small 2505: —
- GPT-5 Pro: 48.0 (#53)

| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Devstral Small 2505: —
- GPT-5 Pro: 56.2 (#39)

| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | — | 31.6% |

## FAQ

### Is Devstral Small 2505 better than GPT-5 Pro?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 33.9 on the Noometry Index. Devstral Small 2505 costs 275× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Devstral Small 2505 or GPT-5 Pro?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GPT-5 Pro lists at $15 and $120.

### Is Devstral Small 2505 or GPT-5 Pro better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 38.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 128K.

### How many benchmarks do Devstral Small 2505 and GPT-5 Pro share?

1 benchmark has published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GPT-5 Pro has 12.