MCP / Models / Language models
Gemini 3 Flash MCP: fast Gemini 3 answers with no API key
Google Gemini 3 Flash is the Gemini 3 generation's fast text model: streamed answers from a prompt or a chat with images, with adjustable thinking. 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 Flash 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-3-flash-preview.md. Help me connect the FlyMy.AI MCP to this assistant, then run Gemini 3 Flash (flymyai/google-gemini-3-flash-preview) for this task: Ask Gemini 3 Flash: write unit tests for this Python module.
What Gemini 3 Flash does
Send a prompt or messages (images as image_url parts) and set reasoning_effort from none to high; max_tokens caps the answer. It also answers the OpenAI Chat Completions protocol, where tools and response_format are refused. It answers in text only.
Gemini 3 Flash inputs
Every input of flymyai/google-gemini-3-flash-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-3-flash-previewflymyai/google-gemini-3-flash-previewflymyai/google-gemini-3-flash-previewGemini 3 Flash price
$0.50 per 1M input tokens, $3.00 per 1M output tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.
Call Gemini 3 Flash 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-3-flash-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-3-flash-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 Flash also answers the OpenAI Chat Completions protocol.
from openai import OpenAI
client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/google-gemini-3-flash-preview/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
model="flymyai/google-gemini-3-flash-preview",
messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)Questions about Gemini 3 Flash
Do I need a Google API key for Gemini 3 Flash?
No. Gemini 3 Flash 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 Flash cost?
$0.50 per 1M input tokens, $3.00 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 Flash 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 Flash: write unit tests for this Python module." Your agent reads the inputs with get_model_schema and runs flymyai/google-gemini-3-flash-preview with run_model.
What does Gemini 3 Flash need as input?
Gemini 3 Flash requires prompt; it also takes 3 optional inputs, each listed on this page with its allowed values and default.
Can I call Gemini 3 Flash from my own code?
Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/google-gemini-3-flash-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-3-flash-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.





