Gemini 4 Argon
Gemini 4 Argon is Google's frontier model for complex, long-horizon work across software engineering, enterprise knowledge work, and cybersecurity defense. It accepts text, images, video, audio, and PDFs, with a 1M-token context window, up to 32,768 output tokens, and configurable thinking effort. It is well suited to large codebase refactors and migrations, document-heavy legal and financial analysis, long-video understanding, and agent workflows that need deep reasoning and precise multi-step execution.
Gemini 4 Argon is served through Runware's compatible endpoints, which take another provider's request format. Point the SDK you already use at Runware by changing the base URL and the API key, and set model to google:gemini@4-argon.
Requests and responses keep the provider's format, so its reference documents every parameter.
| Endpoint | Format |
|---|---|
/v1/chat/completions | OpenAI Chat Completions |
Chat Completions
curl -X POST https://api.runware.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google:gemini@4-argon",
"messages": [{"role": "user", "content": "What is the capital of France?"}]
}'from openai import OpenAI
client = OpenAI(
api_key="your_runware_api_key",
base_url="https://api.runware.ai/v1",
)
response = client.chat.completions.create(
model="google:gemini@4-argon",
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your_runware_api_key',
baseURL: 'https://api.runware.ai/v1',
});
const response = await client.chat.completions.create({
model: 'google:gemini@4-argon',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});
console.log(response.choices[0].message.content);Compatible APIs covers streaming, tool calling and how the endpoint differs from OpenAI, and the OpenAI API reference lists every parameter.