MCP / Models / Language models

Gemini 4 Argon MCP: efficient reasoning with no API key

Google Gemini 4 Argon is the efficient Gemini 4: quicker answers and fewer tokens per turn than Carbon, with image, audio, video and PDF input. Run it from Claude Code, Codex, Cursor or any MCP client through one FlyMy.AI MCP, or call its API.

Use Gemini 4 ArgonInputs and price
No API key$2.00 / $10.00 per 1M tokensChat modelGoogleCommercial use
Gemini 4 Argon sample from the FlyMy.AI catalog

$ YOUR NEXT RUN

Claude CodeCodexCursorAny agent

Use Gemini 4 Argon 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/gemini-4-argon.md. Help me connect the FlyMy.AI MCP to this assistant, then run Gemini 4 Argon (flymyai/gemini-4-argon) for this task: Ask Gemini 4 Argon: plan the steps to migrate this API to a new version.
Open FlyMy.AIDownload brief

What Gemini 4 Argon does

It always thinks. Send a prompt, or a chat history in messages with images as image_url parts, and get a text answer from a 1M-token context. reasoning_effort is low, medium or high (medium by default) and max_tokens caps one request at 32,768 tokens (65,536 when streamed); system_prompt works as usual, and private_mode keeps the prompt and answer out of FlyMy.AI storage. Your FlyMy.AI key also works on the OpenAI-compatible Chat Completions endpoint and on Google's generateContent API at the model's FlyMy.AI address, so the official Google GenAI SDK runs once you change its base URL; that route also takes audio, video and PDF. Billing follows the tokens Google reports, at Google's own price. Tools Google runs itself, such as Search grounding, are not offered.

Guide: LLM API: GPT, Claude and Gemini with One Key

Gemini 4 Argon inputs

Every input of flymyai/gemini-4-argon as its live schema lists them. Returns output (string), finish_reason (string), stream_details (string).

InputType, values and default
# prompt
string required What to ask Gemini 4 Argon
# messages
string optional Chat history as a JSON array of {role, content}; used instead of the prompt
# system_prompt
string optional Instructions for the whole chat
# reasoning_effort
string optional Allowed: high, medium, low Default: medium How much effort Gemini 4 Argon puts into the answer, reasoning included
# max_tokens
integer optional Allowed: 1 to 32768 Most tokens to generate, reasoning included
# private_mode
boolean optional Default: false Keep the prompt and the answer out of FlyMyAI storage and logs (synchronous requests only)

Ask your agent

Requests to paste as they are, once the FlyMy.AI MCP is connected.

“Ask Gemini 4 Argon: plan the steps to migrate this API to a new version.”runs flymyai/gemini-4-argon
“Explain this stack trace and suggest a fix with Gemini 4 Argon.”runs flymyai/gemini-4-argon
“With Gemini 4 Argon, turn these meeting notes into a list of action items with owners.”runs flymyai/gemini-4-argon

Gemini 4 Argon price

$2.00 per 1M input tokens, $10.00 per 1M output tokens, cached input $0.10 per 1M; from 2026-12-01 $4.00 / $20.00 per 1M. Cached input is $0.10 per 1M tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.

See usage pricing →

Call Gemini 4 Argon 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/gemini-4-argon",
  "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/gemini-4-argon/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 4 Argon also answers the OpenAI Chat Completions protocol.

from openai import OpenAI

client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/gemini-4-argon/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
    model="flymyai/gemini-4-argon",
    messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)

Questions about Gemini 4 Argon

Do I need a Google API key for Gemini 4 Argon?

No. Gemini 4 Argon 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 4 Argon cost?

$2.00 per 1M input tokens, $10.00 per 1M output tokens, cached input $0.10 per 1M; from 2026-12-01 $4.00 / $20.00 per 1M. There is no subscription or minimum; the price comes from FlyMy.AI billing and was checked on 2026-11-12.

How do I use Gemini 4 Argon 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 4 Argon: plan the steps to migrate this API to a new version." Your agent reads the inputs with get_model_schema and runs flymyai/gemini-4-argon with run_model.

What does Gemini 4 Argon need as input?

Gemini 4 Argon requires prompt; it also takes 5 optional inputs, each listed on this page with its allowed values and default.

Can I call Gemini 4 Argon from my own code?

Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/gemini-4-argon/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/gemini-4-argon/openai/v1.

Go to the source

Gemini 4 Argon in the playground →Gemini 4 Argon guide in the docs →Model endpoints in the docs →Every model on FlyMy.AI →Every MCP in the catalog →Usage pricing →

From the FlyMy.AI model catalog of 2026-11-12: inputs from the model's live schema, prices from FlyMy.AI billing. Requests are examples to paste, not recorded runs.