Google: Gemini 4 Argon
google/gemini-4-argonGemini 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
- Text & vision
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $2 | $2.3 | 23,000 |
| Output / 1M tokens | $10 | $11.5 | 115,000 |
| Per image | $0.000002 | $0.0000023 | 0.023 |
| Audio / 1M tokens | $2 | $2.3 | 23,000 |
| Audio cache / 1M tokens | $0.1 | $0.115 | 1,150 |
| Per search | $0.014 | $0.0161 | 161 |
| Reasoning / 1M tokens | $10 | $11.5 | 115,000 |
| Cache read / 1M tokens | $0.1 | $0.115 | 1,150 |
| Cache write / 1M tokens | $0.1875 | $0.215625 | 2,156.25 |
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: 2026-11-11T23:10:25.766Z · Live catalogue
View all upstream price fields
{
"prompt": "0.000002",
"completion": "0.00001",
"image": "0.000002",
"audio": "0.000002",
"input_audio_cache": "0.0000001",
"web_search": "0.014",
"internal_reasoning": "0.00001",
"input_cache_read": "0.0000001",
"input_cache_write": "0.0000001875"
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.