Mistral: Mistral Nemo: AI model
Mistral Nemo is a 12B multilingual model built by Mistral with NVIDIA, offering a 128K-token context and broad language coverage at a low price. Reachable from inside Iran through Hormouz.
- Context window:
- 131,072 tokens
- Input:
- $0.03/1M tokens
- Output:
- $0.03/1M tokens
- Type:
- text
- Tools
- Streaming
- Long context
Mistral Nemo is a 12B-parameter model built by Mistral in collaboration with NVIDIA. It is multilingual by design, covering many major languages, and offers a 128K-token context window. A strong combination for a model of its modest size.
Its small footprint and low price make it a good general-purpose workhorse for chat, drafting and multilingual tasks where you want solid quality without flagship cost. It supports tool calling as well. It is served through Hormouz behind an OpenAI-compatible API: point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged.
Pricing is usage-based: $0.15 per million input tokens and $0.17 per million output tokens. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-nemo",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Mistral AI |
|---|---|
| Type | Text |
| Context window | 131,072 tokens |
| Pricing | $0.03/M in · $0.03/M out |
| API | Chat Completions |
| Capabilities | Streaming · Tools |
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-nemo",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
model="mistralai/mistral-nemo",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
model: "mistralai/mistral-nemo",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Mistral: Mistral Nemo API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Mistral: Mistral Nemo and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Mistral Nemo cost?
- Billing is usage-based: $0.15 per million input tokens and $0.17 per million output tokens. There is no fixed monthly fee. You pay only for what you use.
- How do I access Mistral Nemo from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides stable access from inside Iran, with no foreign credit card or circumvention tooling required.
- Is Mistral Nemo compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.
- Is Mistral Nemo good for multiple languages?
- Yes. It was designed to be multilingual and covers many major languages, which makes it a practical low-cost choice for chat and drafting across languages.
- When should I pick Mistral Nemo?
- Pick it as an affordable general-purpose model for chat, drafting and multilingual tasks with a 128K-token context, when you do not need flagship-level reasoning.
Updated 2026-10-13