Mistral AI: Mixtral 8x7B Instruct
mistralai/mixtral-8x7b-instruct
Access Mixtral 8x7B Instruct 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/mixtral-8x7b-instruct"
}).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/mixtral-8x7b-instruct"
}).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/mixtral-8x7b-instruct",
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/mixtral-8x7b-instruct",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Mixtral 8x7B is a sparse MoE model with 45B total / 13B active parameters using 8 experts per layer. It outperforms Llama 2 70B and GPT-3.5 while running 6x faster, mastering English, French, German, Spanish, and Italian.
Context Window 33K
tokens
Max Output 16K
tokens
Input Cost $0.54
per million tokens
Output Cost $0.54
per million tokens
Release Date Dec 11, 2023
Model Playground
Try Mixtral 8x7B Instruct instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Mixtral 8x7B Instruct performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 29.2% |
| Humanity's Last Exam Cross-domain reasoning | 4.5% |
| LiveCodeBench Recent coding problems | 6.6% |
| SciCode Scientific programming | 2.8% |
| MATH-500 Competition math | 29.9% |
| AIME 2024 Advanced math exam | 0.0% |
Scores sourced from Artificial Analysis.
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Frequently Asked Questions
You can access Mixtral 8x7B Instruct 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.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Mixtral 8x7B Instruct to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.54 |
| Output | $0.54 |
Mixtral 8x7B Instruct was created by Mistral AI and released on Dec 11, 2023.
Mixtral 8x7B Instruct supports a context window of 33K tokens. For reference, that is roughly equivalent to 66 pages of text.
Mixtral 8x7B Instruct can generate up to 16K tokens in a single response.
Yes — the Mixtral 8x7B 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 Mixtral 8x7B Instruct to your app without worrying about API keys or setup.
Read the Docs View Tutorials