# Devstral Small 2505 vs GPT-4.1

> GPT-4.1 is the stronger model overall, scoring 35.7 to 33.9 on the Noometry Index. Devstral Small 2505 costs 23× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/devstral-small-vs-gpt-4-1
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Devstral Small 2505 scores higher in 2 categories and GPT-4.1 in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Devstral Small 2505 leads 19.1 to 11.7.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 56.4% for Devstral Small 2505 and 39.6% for GPT-4.1.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.

## Snapshot

| | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 33.9 | 35.7 |
| Rank | 228 | 215 |
| Context | 128K | 1.05M |
| Input $/M | $0.10 | $2 |
| Output $/M | $0.30 | $8 |
| Weights | Open | Proprietary |

## Coding

- Devstral Small 2505: 38.6 (#160)
- GPT-4.1: 34.2 (#228)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | 39.6% |
| SWE-bench Verified | — | 48.5% |
| Aider Polyglot | — | 52.4% |
| SciCode | 28.8% | — |
| WeirdML | — | 39% |
| LMArena Coding | — | 1391 |
| CadEval | — | 42% |
| ALE-Bench | — | 558.1 |

## Agentic & Tool Use

- Devstral Small 2505: —
- GPT-4.1: 34.4 (#40)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 54% |

## Reasoning

- Devstral Small 2505: 19.1 (#243)
- GPT-4.1: 11.7 (#334)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 52.3% |
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| ARC-AGI-1 | — | 5.5% |
| CritPt | 0% | — |
| Chess Puzzles | — | 6% |
| EnigmaEval | — | 2.2% |
| LMArena Hard Prompts | — | 1384 |
| DTBench | — | 68.3% |
| LMCA | — | 25.6% |
| Epoch Capabilities Index | — | 136.79 |
| ForecastBench | — | 61.5 |

## Math

- Devstral Small 2505: —
- GPT-4.1: 21.4 (#269)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 6% |
| OTIS Mock AIME 2024-2025 | — | 38.3% |
| Omni-MATH | — | 47.1% |
| LMArena Math | — | 1369 |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Devstral Small 2505: —
- GPT-4.1: 37.0 (#152)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| GPQA Diamond | — | 66.9% |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | — | 31.1% |
| MMLU-Pro | — | 81.1% |
| Vectara Hallucination Rate | — | 5.6% |
| GPQA (HELM) | — | 65.9% |
| LMArena Expert | — | 1364 |

## Multimodal

- Devstral Small 2505: —
- GPT-4.1: 37.5 (#66)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| LMArena Vision | — | 1210 |
| GeoBench | — | 72% |

## Multilingual

- Devstral Small 2505: —
- GPT-4.1: 49.6 (#128)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| LMArena Non-English | — | 1370 |
| LMArena Chinese | — | 1382 |
| LMArena French | — | 1383 |
| LMArena German | — | 1380 |
| LMArena Japanese | — | 1320 |
| LMArena Korean | — | 1339 |
| LMArena Russian | — | 1377 |
| LMArena Spanish | — | 1375 |

## Instruction Following

- Devstral Small 2505: —
- GPT-4.1: 71.5 (#148)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| IFEval | — | 83.8% |
| LMArena Instruction Following | — | 1367 |

## Long Context

- Devstral Small 2505: —
- GPT-4.1: 40.0 (#158)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| Fiction.LiveBench | — | 63.9% |
| LMArena Longer Query | — | 1385 |

## Writing & Preference

- Devstral Small 2505: —
- GPT-4.1: 57.8 (#120)

| Benchmark | Devstral Small 2505 | GPT-4.1 |
|---|---|---|
| LMArena Text | — | 1383 |
| LMArena Creative Writing | — | 1363 |
| EQ-Bench Creative Writing | — | 1420 |
| WildBench | — | 85.4% |
| LMArena Multi-Turn | — | 1398 |

## FAQ

### Is Devstral Small 2505 better than GPT-4.1?

GPT-4.1 is the stronger model overall, scoring 35.7 to 33.9 on the Noometry Index. Devstral Small 2505 costs 23× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.

### Which is cheaper, Devstral Small 2505 or GPT-4.1?

Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is Devstral Small 2505 or GPT-4.1 better for coding?

Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 does, with 1.05M tokens against 128K.

### How many benchmarks do Devstral Small 2505 and GPT-4.1 share?

2 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GPT-4.1 has 52.