MCP / Models / Language models
Gemini 3.1 Pro MCP: deep reasoning and code with no API key
Google Gemini 3.1 Pro is the Pro tier of Gemini 3.1 for hard reasoning, long documents and code, with image input and JSON output. Run it from Claude Code, Codex, Cursor or any MCP client through one FlyMy.AI MCP, or call its API.

$ YOUR NEXT RUN
Use Gemini 3.1 Pro in your assistant
Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.
Read https://flymy.ai/skill.md and https://flymy.ai/mcp/models/google-gemini-31-pro-preview.md. Help me connect the FlyMy.AI MCP to this assistant, then run Gemini 3.1 Pro (flymyai/google-gemini-31-pro-preview) for this task: Ask Gemini 3.1 Pro: review this function for bugs and explain the fix.
What Gemini 3.1 Pro does
Send a prompt or messages (images as image_url parts) and choose reasoning_effort from none to high. Through the OpenAI-compatible endpoint, response_format returns JSON; temperature and max_tokens are ignored and tools are refused. It answers in text only.
Gemini 3.1 Pro inputs
Every input of flymyai/google-gemini-31-pro-preview as its live schema lists them. Returns output (string).
Ask your agent
Requests to paste as they are, once the FlyMy.AI MCP is connected.
flymyai/google-gemini-31-pro-previewflymyai/google-gemini-31-pro-previewflymyai/google-gemini-31-pro-previewGemini 3.1 Pro price
$2.00 per 1M input tokens, $12.00 per 1M output tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.
Call Gemini 3.1 Pro from code
The same model, from an agent or from your own code. Keys stay in your FlyMy.AI account.
From an agent, through the MCP
The agent calls get_model_schema, then run_model with:
{
"endpoint_id": "flymyai/google-gemini-31-pro-preview",
"input": {
"prompt": "Explain in two sentences what an MCP server is."
}
}From your code, over HTTP
Form fields, not JSON; files go as uploads or public URLs. Text models answer on the streaming route.
curl -X POST https://api.flymy.ai/api/v1/flymyai/google-gemini-31-pro-preview/predict/stream/ \
-H "X-API-KEY: $FLYMYAI_API_KEY" \
-F 'prompt=Explain in two sentences what an MCP server is.'With the OpenAI SDK
Gemini 3.1 Pro also answers the OpenAI Chat Completions protocol.
from openai import OpenAI
client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/google-gemini-31-pro-preview/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
model="flymyai/google-gemini-31-pro-preview",
messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)Questions about Gemini 3.1 Pro
Do I need a Google API key for Gemini 3.1 Pro?
No. Gemini 3.1 Pro runs on FlyMy.AI's account, so you need no Google key or plan: sign in to FlyMy.AI once and each run is billed to your FlyMy.AI balance.
How much does Gemini 3.1 Pro cost?
$2.00 per 1M input tokens, $12.00 per 1M output tokens. There is no subscription or minimum; the price comes from FlyMy.AI billing and was checked on 2026-11-09.
How do I use Gemini 3.1 Pro in Claude Code, Codex or Cursor?
Add the FlyMy.AI MCP with one command and sign in, then ask in plain words, for example: "Ask Gemini 3.1 Pro: review this function for bugs and explain the fix." Your agent reads the inputs with get_model_schema and runs flymyai/google-gemini-31-pro-preview with run_model.
What does Gemini 3.1 Pro need as input?
Gemini 3.1 Pro requires prompt; it also takes 2 optional inputs, each listed on this page with its allowed values and default.
Can I call Gemini 3.1 Pro from my own code?
Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/google-gemini-31-pro-preview/predict/stream/ with your FlyMy.AI API key in the X-API-KEY header; it also answers the OpenAI Chat Completions protocol at https://api.flymy.ai/api/v1/flymyai/google-gemini-31-pro-preview/openai/v1.
Go to the source
From the FlyMy.AI model catalog of 2026-11-09: inputs from the model's live schema, prices from FlyMy.AI billing. Requests are examples to paste, not recorded runs.





