Mistral AI

Mistral AI: Mistral Nemo

mistralai/open-mistral-nemo

Access Mistral Nemo 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/open-mistral-nemo"
}).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/open-mistral-nemo"
        }).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/open-mistral-nemo",
    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/open-mistral-nemo",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Mistral Nemo is a 12B parameter model built with NVIDIA featuring 128K context and the Tekken tokenizer trained on 100+ languages. It excels in multilingual tasks, coding, and reasoning, serving as a drop-in replacement for Mistral 7B.

Context Window 131K

tokens

Max Output 131K

tokens

Input Cost $0.15

per million tokens

Output Cost $0.15

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff Jul 2024

 

Release Date Jul 1, 2024

 

Model Playground

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

Chat mistralai/open-mistral-nemo
Mistral AI
Chat with Mistral Nemo
Powered by Puter.js

More AI Models From Mistral AI

Find other Mistral AI models →

Chat

Mistral Small 4

Mistral Small 4 is a 119B-parameter open-source Mixture-of-Experts model (6B active per token) released under Apache 2.0, unifying instruction-following, reasoning, multimodal (text + image), and agentic coding into a single deployment. It features 128 experts, a 256k context window, and configurable reasoning effort that lets developers toggle between fast responses and deep step-by-step reasoning per request. Compared to its predecessor Mistral Small 3, it delivers 40% lower latency and 3x higher throughput while matching or surpassing GPT-OSS 120B on key benchmarks.

 Chat

Mistral Small Creative

Mistral Small Creative is a specialized Labs model variant optimized for creative content generation. It builds on the Mistral Small architecture with adjustments for more imaginative and varied outputs in writing tasks.

 Chat

Ministral 14B

Ministral 14B is part of the Ministral 3 family, a 14B parameter multimodal model with vision capabilities under Apache 2.0. It offers advanced capabilities for local deployment with instruct, base, and reasoning variants achieving 85% on AIME'25.

Frequently Asked Questions

How do I use Mistral Nemo?

You can access Mistral Nemo 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 Mistral Nemo free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mistral Nemo 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 Mistral Nemo?
Pricing for Mistral Nemo is based on the number of input and output tokens used per request.
Price per 1M tokens
Input$0.15
Output$0.15
Who created Mistral Nemo?

Mistral Nemo was created by Mistral AI and released on Jul 1, 2024.

What is the context window of Mistral Nemo?

Mistral Nemo 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 Mistral Nemo?

Mistral Nemo can generate up to 131K tokens in a single response.

What is the knowledge cutoff of Mistral Nemo?

Mistral Nemo has a knowledge cutoff date of Jul 2024. This means the model was trained on data available up to that date.

What types of input can Mistral Nemo process?

Mistral Nemo accepts the following input types: text. It produces: text.

Does Mistral Nemo support tool use (function calling)?

Yes, Mistral Nemo 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 Mistral Nemo 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 Mistral Nemo to your app without worrying about API keys or setup.

Read the Docs View Tutorials