Mistral AI: Mistral Nemo 12B
mistralai/open-mistral-nemo-2407
Access Mistral Nemo 12B 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-nemo-2407"
}).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-nemo-2407"
}).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-nemo-2407",
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-nemo-2407",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Mistral Nemo 12B is a 12B parameter model developed in collaboration with NVIDIA, released under Apache 2.0 with a 128K context window.
It uses the Tekken tokenizer trained on 100+ languages, which compresses source code and multilingual text ~30% more efficiently than previous Mistral tokenizers. Mistral Nemo 12B is state-of-the-art in its size category for reasoning, world knowledge, and coding, significantly outperforming Mistral 7B on instruction following, multi-turn conversations, and code generation.
Benchmark scores include 68.0% on MMLU (5-shot), 83.5% on HellaSwag, and 76.8% on Winogrande. It supports function calling and is an ideal drop-in replacement for Mistral 7B where stronger multilingual and reasoning capabilities are needed.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0.15
per million tokens
Output Cost $0.15
per million tokens
Input text
modalities
Tool Use Yes
Knowledge Cutoff Jul 2024
Release Date Jul 25, 2024
Model Playground
Try Mistral Nemo 12B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
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Frequently Asked Questions
You can access Mistral Nemo 12B 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 Mistral Nemo 12B 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 | $0.15 |
| Output | $0.15 |
Mistral Nemo 12B was created by Mistral AI and released on Jul 25, 2024.
Mistral Nemo 12B supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
Mistral Nemo 12B can generate up to 128K tokens in a single response.
Mistral Nemo 12B has a knowledge cutoff date of Jul 2024. This means the model was trained on data available up to that date.
Mistral Nemo 12B accepts the following input types: text. It produces: text.
Yes, Mistral Nemo 12B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the Mistral Nemo 12B 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 Nemo 12B to your app without worrying about API keys or setup.
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