Devstral Small 1.0

Name: Devstral Small 1.0
Price: 0.1 USD
Availability: InStock
Author: MistralAI

Coding model

Devstral Small 1.0

Release date: 2025-05-26Updated: 2025-07-11Views: 675

Live demoGitHubHugging Face Compare

Parameters

24B

Context length

128K

Multilingual

Supported

Reasoning ability

3/5

Devstral Small 1.0 is an AI model published by MistralAI, released on 2025-05-26, for Coding model, with 24B parameters, and 128K context length, requiring about 48GB storage, with a 46.80 score on SWE-bench Verified.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Devstral Small 1.0

Model basics

Reasoning traces

No data

Thinking modes

Standard Mode (Default)Thinking Mode

Context length

128K tokens

Max output length

4K tokens

Model type

Coding model

Modality (in / out)

Text → Text

Release date

2025-05-26

Model file size

48GB

MoE architecture

Total params / Active params

24B / Not applicable

Knowledge cutoff

No data

Devstral Small 1.0

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

N/A

Hugging Face

huggingface.co/mistralai/Devstral-Small-2505

Live demo

chat.mistral.ai/chat

Devstral Small 1.0

Official resources

Paper

DataLearnerAI blog

N/A

Devstral Small 1.0

API details

API speed

3/5

💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.

Learn about pricing modes

Standard

Type	Condition	Input	Output
Text	-	$0.100/ 1M	$0.300/ 1M

“—” means the modality is not billed in that direction, or the vendor has not published a price for it.

Devstral Small 1.0

Benchmark Results

Devstral Small 1.0 currently shows benchmark results led by SWE-bench Verified (102 / 114, score 46.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.