Gemini 4 Argon (batch)
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.
google/gemini-4-argon:batch
- Context
- 1M tokens
- Completion cap
- 943,718
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-10-13
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-4-argon:batch",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Gemini 4 Argon (batch)?
- Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response. Gemini 4 Argon (batch) runs on the Geek Hub API (OpenAI-compatible). Model id: google/gemini-4-argon:batch.
- Is Gemini 4 Argon (batch) free?
- No. $1.0901 per minute on Geek Hub.
- What is the context length of Gemini 4 Argon (batch)?
- Gemini 4 Argon (batch) has a 1M tokens context window. It supports up to 943,718 completion tokens.
- When was Gemini 4 Argon (batch) released?
- Gemini 4 Argon (batch) was released on 2026-10-13.
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