Mistral AI: Mistral 7B

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Mistral 7B is Mistral's foundational 7.3B parameter open-source model under Apache 2.0, using sliding window attention and grouped-query attention. It outperforms Llama 2 13B on all benchmarks while being efficient enough for consumer hardware.

Context Window 33K

tokens

Max Output 33K

tokens

Input Cost $0.25

per million tokens

Output Cost $0.25

per million tokens

Input text

modalities

Tool Use Yes

 

Knowledge Cutoff Dec 2023

 

Release Date Sep 27, 2023

 

Output Speed 115

tokens / sec

Latency 0.37s

time to first token

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 7B?

You can access Mistral 7B 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 7B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mistral 7B 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 7B?
Mistral 7B costs $0.25 per 1M input tokens and $0.25 per 1M output tokens.
Price per 1M tokens
Input$0.25
Output$0.25
Who created Mistral 7B?

Mistral 7B was created by Mistral AI and released on Sep 27, 2023.

What is the context window of Mistral 7B?

Mistral 7B supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.

What is the max output length of Mistral 7B?

Mistral 7B can generate up to 33K tokens in a single response.

What is the knowledge cutoff of Mistral 7B?

Mistral 7B has a knowledge cutoff date of Dec 2023. This means the model was trained on data available up to that date.

What types of input can Mistral 7B process?

Mistral 7B accepts the following input types: text. It produces: text.

Does Mistral 7B support tool use (function calling)?

Yes, Mistral 7B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Mistral 7B perform on benchmarks?

Mistral 7B scores 7.4 on the Artificial Analysis Intelligence Index, outperforming 3% of tracked models.

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

Yes — the Mistral 7B 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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