Mistral Large 4, Mistral AI's flagship open-weight model: a 1T-parameter mixture of experts (49B active) with native image input, tool use, optional reasoning and long context.
Available on
Privacy
- ZDR
- Training
- No
- Region
- EU, Multi
Mistral Large 4 has no web search of its own, so Opper's engine adds it with one tool entry. Pick an EU route and pin Jina or Searchbase, and the model, the query and every page it reads stay in Europe.
Paste this into your coding agent (Claude Code, Cursor, Codex, and more) and it will set up and build with Opper for you.
curl https://api.opper.ai/v3/compat/chat/completions \-H "Authorization: Bearer $OPPER_API_KEY" \-H "Content-Type: application/json" \-d '{"model": "mistral:eu/mistral-large-4","messages": [{"role": "user", "content": "What changed in the news today?"}],"tools": [{"type": "opper:web_search", "engine": "jina"}]}'
Mistral Large 4 runs on the routes below. Route only to EU providers and pin "engine": "jina" or "searchbase" when your data has to stay in Europe.
Mistral Large 4, Mistral AI's flagship open-weight model: a 1T-parameter mixture of experts (49B active) with native image input, tool use, optional reasoning and long context.
Step-by-step setup for adding web search to each of these models through Opper.
Turn any URL into clean markdown a model can read. Runs on Jina in the EU.
/v3/tools/web/fetchLet the model run code in a sandbox and use the result. Built in on OpenAI, Gemini and Claude models.
provider toolReorder search results by relevance before they reach the model. Cohere Rerank and BGE.
/v3/rerank