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
- Contexto
- 1M tokens
- Máx. completion
- 943,718
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2026-10-13
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
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"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es 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) corre en el API de Geek Hub (compatible con OpenAI). Id: google/gemini-4-argon:batch.
- ¿Gemini 4 Argon (batch) es gratis?
- No. $1.0901 por minuto en Geek Hub.
- ¿Cuál es el contexto de Gemini 4 Argon (batch)?
- Gemini 4 Argon (batch) tiene una ventana de 1M tokens. Soporta hasta 943,718 tokens de completion.
- ¿Cuándo se lanzó Gemini 4 Argon (batch)?
- Gemini 4 Argon (batch) se lanzó el 13 de octubre de 2026.
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