Mistral AI

Mistral AI: Devstral Small 1.1

mistralai/devstral-small-2507

Access Devstral Small 1.1 from Mistral AI using Puter.js AI API.

Get Started
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "mistralai/devstral-small-2507"
}).then(response => {
    document.body.innerHTML = response.message.content;
});
<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "mistralai/devstral-small-2507"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="mistralai/devstral-small-2507",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "mistralai/devstral-small-2507",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Devstral Small is a 24B parameter agentic coding model built with All Hands AI, achieving 46.8% on SWE-Bench Verified. Released under Apache 2.0, it can run locally on a single RTX 4090 or 32GB RAM Mac for autonomous software development.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $0.1

per million tokens

Output Cost $0.3

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff May 2025

 

Release Date Jul 10, 2025

 

Output Speed 200

tokens / sec

Latency 0.37s

time to first token

Model Playground

Try Devstral Small 1.1 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat mistralai/devstral-small-2507
Mistral AI
Chat with Devstral Small 1.1
Powered by Puter.js

Benchmarks

How Devstral Small 1.1 performs on standard evaluations.

Artificial Analysis
Intelligence Index
15.2
Better than 39% of tracked models
Artificial Analysis
Coding Index
12.1
Better than 31% of tracked models
Artificial Analysis
Math Index
29.3
Better than 30% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
41.4%
Humanity's Last Exam Cross-domain reasoning
3.7%
LiveCodeBench Recent coding problems
25.4%
SciCode Scientific programming
24.3%
MATH-500 Competition math
63.5%
AIME 2024 Advanced math exam
0.3%
AIME 2025 Advanced math exam
29.3%
IFBench Instruction following
34.6%
LCR Long-context reasoning
17.0%
Terminal-Bench Hard Agentic terminal tasks
6.1%
τ²-Bench Tool use / agents
28.4%

Scores sourced from Artificial Analysis.

Frequently Asked Questions

How do I use Devstral Small 1.1?

You can access Devstral Small 1.1 by Mistral AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Devstral Small 1.1 free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Devstral Small 1.1 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Devstral Small 1.1?
Pricing for Devstral Small 1.1 is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.1
Output$0.3
Who created Devstral Small 1.1?

Devstral Small 1.1 was created by Mistral AI and released on Jul 10, 2025.

What is the context window of Devstral Small 1.1?

Devstral Small 1.1 supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Devstral Small 1.1?

Devstral Small 1.1 can generate up to 131K tokens in a single response.

What is the knowledge cutoff of Devstral Small 1.1?

Devstral Small 1.1 has a knowledge cutoff date of May 2025. This means the model was trained on data available up to that date.

What types of input can Devstral Small 1.1 process?

Devstral Small 1.1 accepts the following input types: text. It produces: text.

Does Devstral Small 1.1 support tool use (function calling)?

Yes, Devstral Small 1.1 supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Devstral Small 1.1 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Devstral Small 1.1 to your app without worrying about API keys or setup.

Read the Docs View Tutorials