Gemini 4 Argon
gemini-4-argon
Chatby Google
Google's flagship reasoning model for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Multimodal input accepting text, images, video, audio, and documents/PDFs.
- Context
- 1Mtokens
- Max output
- 943Ktokens
- Released
- 2026-10-13
Pricing
$ / 1M tokensInput
$4.00/M
Output
$20.00/M
Cache Read
$0.20/M
Cache Write
$0.375/M
Capabilities
5 listed- Chat
- Tool Use
- Reasoning
- Coding
- Analysis
Code examples
POST /v1/chat/completionspython
from openai import OpenAI
client = OpenAI(
api_key="your_api_key",
base_url="https://api.modelstack.cc/v1",
)
response = client.chat.completions.create(
model="gemini-4-argon",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Frequently asked questions
How is Gemini 4 Argon billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for Gemini 4 Argon?expand_more
Gemini 4 Argon has a 1M context window and supports up to 943K of output.
How can I call Gemini 4 Argon through ModelStack?expand_more
Use the model ID `gemini-4-argon` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does Gemini 4 Argon support?expand_more
Gemini 4 Argon supports: Chat, Tool Use, Reasoning, Coding, Analysis.