Mistral AI: Mistral 7B Instruct

This model is no longer available.

Add AI to your application with Puter.js.

Explore Other Models

Model Card

Mistral 7B Instruct is the instruction-tuned version of Mistral 7B, fine-tuned on publicly available datasets. It outperforms all 7B models on MT-Bench and competes with 13B chat models while maintaining Apache 2.0 licensing.

Context Window N/A

tokens

Max Output 4K

tokens

Input Cost $0.2

per million tokens

Output Cost $0.2

per million tokens

Release Date Sep 27, 2023

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>

More AI Models From Mistral AI

Find other Mistral AI models →

Chat

Mistral Large 4

Mistral Large 4 is a multimodal sparse mixture-of-experts model from Mistral AI with 1 trillion total parameters and 49 billion active. It accepts text and image input and produces text output, and it supports tool calling and structured responses through the API. Mistral positions it for coding, cybersecurity, finance, manufacturing, and visual grounding. In Mistral's preview results it scores 62% on DeepSWE v1.1, 67% on FinWorkBench, and 73% on DIOR-RSVG, and it solves 93% of the 40 Cybench exercises. It is suited to developers building coding agents, security analysis tools, and enterprise workflows that need long context (1M tokens) and image understanding. Open weights are planned for release after the API preview.

Chat

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128-billion-parameter multimodal model from Mistral AI that unifies instruction-following, reasoning, and coding into a single set of weights. It features a 256k-token context window, native function calling, structured JSON output, and vision capabilities via a custom-trained encoder that handles variable image sizes. A per-request reasoning_effort parameter lets you toggle between fast responses and deeper chain-of-thought processing, making the same model suitable for quick chat replies and complex agentic workflows. On benchmarks, it scores 77.6% on SWE-Bench Verified and 91.4% on τ³-Telecom. It replaces Mistral's previous Medium 3.1, Magistral, and Devstral 2 models. Priced at $1.50 per million input tokens and $7.50 per million output tokens, it's a strong fit for developers building tool-calling agents, long-horizon coding tasks, and multi-step automation pipelines.

Chat

Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128-billion-parameter multimodal model from Mistral AI that unifies instruction-following, reasoning, and coding into a single set of weights. This entry is Mistral's own dated direct-integration id for the same release available as mistralai/mistral-medium-3-5 through OpenRouter. It features a 256k-token context window, native function calling, structured JSON output, and vision capabilities via a custom-trained encoder that handles variable image sizes. A per-request reasoning_effort parameter lets you toggle between fast responses and deeper chain-of-thought processing, making the same model suitable for quick chat replies and complex agentic workflows. On benchmarks, it scores 77.6% on SWE-Bench Verified and 91.4% on τ³-Telecom. It replaces Mistral's previous Medium 3.1, Magistral, and Devstral 2 models. Priced at $1.50 per million input tokens and $7.50 per million output tokens, it's a strong fit for developers building tool-calling agents, long-horizon coding tasks, and multi-step automation pipelines.

Frequently Asked Questions

How do I use Mistral 7B Instruct?

Mistral 7B Instruct is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Mistral 7B Instruct?

Mistral 7B Instruct costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.

	Price per 1M tokens
Input	$0.2
Output	$0.2

Who created Mistral 7B Instruct?

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

What is the max output length of Mistral 7B Instruct?

Mistral 7B Instruct can generate up to 4K tokens in a single response.

How does Mistral 7B Instruct perform on benchmarks?

Mistral 7B Instruct scores 5.0 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 Instruct 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 AI to your application without worrying about API keys or setup.

Explore Models View Tutorials