Mistral AI

Mistral AI: Mistral 7B

mistralai/open-mistral-7b

Access Mistral 7B 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-7b"
}).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-7b"
        }).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-7b",
    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-7b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

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 193

tokens / sec

Latency 0.31s

time to first token

Model Playground

Try Mistral 7B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat mistralai/open-mistral-7b
Mistral AI
Chat with Mistral 7B
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Benchmarks

How Mistral 7B performs on standard evaluations.

Artificial Analysis
Intelligence Index
7.4
Better than 4% of tracked models
BenchmarkScore
GPQA Diamond Graduate-level science Q&A
17.7%
Humanity's Last Exam Cross-domain reasoning
4.3%
LiveCodeBench Recent coding problems
4.6%
SciCode Scientific programming
2.4%
MATH-500 Competition math
12.1%
AIME 2024 Advanced math exam
0.0%
IFBench Instruction following
19.9%
LCR Long-context reasoning
0.0%
τ²-Bench Tool use / agents
0.0%

Scores sourced from Artificial Analysis.

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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?
Pricing for Mistral 7B is based on the number of input and output tokens used per request.
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.

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.

Get started with Puter.js

Add Mistral 7B to your app without worrying about API keys or setup.

Read the Docs View Tutorials