Overview
Mistral Large 3 is a general-purpose granular mixture-of-experts model with 675B total and 41B active parameters, post-trained for chat, agentic and instruction-following work. Mistral designs it for production assistants, retrieval-augmented systems and enterprise workflows, with native function calling, strong system-prompt adherence, a 256K context window and support for dozens of languages.
Strengths
- Native function calling and JSON output
- 256K context window
- Dozens of supported languages
Use cases
- Retrieval-augmented assistants over long documents
- Enterprise knowledge work and agents
- General coding assistance
Good to know
The weights include a vision encoder, but image input is not honoured on this alias, so treat it as text-only.
API access
One OpenAI-compatible API for every model in the catalog, plus the CLI and the function SDK inside workflows. Sign up free, add a card for $5 in credits, and these requests work:
curl https://model.graphn.ai/v1/chat/completions \
-H "Authorization: Bearer $GRAPHN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistral-large-3",
"messages": [{"role": "user", "content": "Hello"}]
}'graphn model chat mistral-large-3 -m "What is GraphN?"
@function
async def ask(question: str) -> str:
return await chat.complete(question, model="mistral-large-3")