Mistral AI: Mistral Nemo

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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

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

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

puter.ai.chat("Explain quantum computing in simple terms").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").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Frequently Asked Questions

How do I use Mistral Nemo?

Mistral Nemo is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Mistral Nemo?

Mistral Nemo costs $0.15 per 1M input tokens and $0.15 per 1M output tokens.

	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.

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