Gemini 3.1 Pro Preview by Google, a frontier reasoning LLM with 1M context and strong agentic coding, scoring 77% on ARC-AGI-2 and 81% on SWE-Bench Verified.
Available on
Privacy
- ZDR
- Training
- No
- Region
- US, Multi
Gemini 3.1 Pro Preview uses Gemini URL context through Opper on the generateContent endpoint, passed through as Google defines it.
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/v1beta/models/gemini/gemini-3.1-pro-preview:generateContent" \-H "Authorization: Bearer $OPPER_API_KEY" \-H "Content-Type: application/json" \-d '{"contents": [{"role": "user", "parts": [{"text": "Summarise https://opper.ai/pricing"}]}],"tools": [{"urlContext": {}}]}'
Gemini 3.1 Pro Preview runs Gemini URL context on the routes below. Some routes also sell flex and priority processing: the same model at another price, picked per request with service_tier. How service tiers work.
| Provider | Region | Zero data retention | Training | Input | Output | Cache read | ||
|---|---|---|---|---|---|---|---|---|
| US | No | $2.00 | $12.00 | $0.20$2.38 write | ||||
| Multi | No | $2.00 | $12.00 | $0.20 | Not offered on this route | Not offered on this route | ||
| Multi | No | $2.00 | $12.00 | $0.20$2.38 write |
Gemini 3.1 Pro Preview by Google, a frontier reasoning LLM with 1M context and strong agentic coding, scoring 77% on ARC-AGI-2 and 81% on SWE-Bench Verified.
Step-by-step setup for Gemini URL context on each of these models through Opper.
Turn any URL into clean markdown a model can read. Opper's web fetch, running in the EU.
/v3/tools/web/fetchClaude fetches and reads pages itself on the Messages endpoint, on Anthropic's own route.
web_fetchOpper's default search engine for models without their own. Search processing stays in the EU.
"engine": "jina"