Mistral Nemo

Mistral Nemo is a 12B-parameter dense model built by Mistral AI in collaboration with NVIDIA, with a 128K context window and strong multilingual coverage. It is tuned for instruction following, coding, and reasoning at a small footprint, and uses the Tekken tokenizer for efficient multilingual encoding. A practical pick for cost-efficient production traffic, fine-tuning, and edge-class deployments.

Quick start

Use any OpenAI-compatible client. Just change base_url and your key.

from openai import OpenAI

client = OpenAI(
    api_key="tl-xxxxxxxxxxxxxxxxxxxxxxxx",
    base_url="https://api.thalam.ai/v1",
)

response = client.chat.completions.create(
    model="mistralai/mistral-nemo",
    messages=[
        {"role": "user", "content": "Hello from Thalam!"}
    ],
)

print(response.choices[0].message.content)