Mistral AI: Mistral Large

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Mistral Large is Mistral's flagship large model for high-complexity enterprise tasks with strong reasoning, knowledge, and coding capabilities. It supports function calling and excels in RAG and agentic workflows across multiple languages.

Context Window 128K

tokens

Max Output 102K

tokens

Input Cost $2

per million tokens

Output Cost $6

per million tokens

Input text, file

modalities

Tool Use Yes

Release Date Feb 26, 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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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 Large?

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

What is the pricing for Mistral Large?

Mistral Large costs $2 per 1M input tokens and $6 per 1M output tokens.

	Price per 1M tokens
Input	$2
Output	$6

Who created Mistral Large?

Mistral Large was created by Mistral AI and released on Feb 26, 2024.

What is the context window of Mistral Large?

Mistral Large supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.

What is the max output length of Mistral Large?

Mistral Large can generate up to 102K tokens in a single response.

What types of input can Mistral Large process?

Mistral Large accepts the following input types: text, file. It produces: text.

Does Mistral Large support tool use (function calling)?

Yes, Mistral Large 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 Large perform on benchmarks?

Mistral Large scores 5.8 on the Artificial Analysis Intelligence Index, outperforming 11% of tracked models.

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

Yes — the Mistral Large 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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