Google: Gemini 4 Argon (batch)

google/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...

Context window
1,048,576 tokens
Input
audio · file · image · text · video
Output
text
Relay support
Price book only

Reference prices & points

Our global markup: 15% · 1 USD = 10,000 points · Price version 0

Billing unitOpenRouter / USDOur reference / USDPoints
Input / 1M tokens$1$1.1511,500
Output / 1M tokens$5$5.7557,500
Per image$0.000001$0.000001150.0115
Audio / 1M tokens$1$1.1511,500
Audio cache / 1M tokens$0.05$0.0575575
Per search$0.014$0.0161161
Reasoning / 1M tokens$5$5.7557,500
Cache read / 1M tokens$0.05$0.0575575
Cache write / 1M tokens$0.1875$0.2156252,156.25

Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.

Catalogue time: 2026-11-11T23:35:38.023Z · Live catalogue

View all upstream price fields
{
  "prompt": "0.000001",
  "completion": "0.000005",
  "image": "0.000001",
  "audio": "0.000001",
  "input_audio_cache": "0.00000005",
  "web_search": "0.014",
  "internal_reasoning": "0.000005",
  "input_cache_read": "0.00000005",
  "input_cache_write": "0.0000001875"
}

Integration & availability

This model is listed in the price book but cannot be called from this workspace. The workspace supports text chat, vision and optional web search. Turn on Image mode to find eligible image generators. Other modalities are currently price-book entries.

Read the API guide → · Back to model directory