Google / google/gemini-4-argon

Gemini 4 Argon - access through LLMTR

The 1M token context window is shared between input and output, and Google caps a single response at 65K tokens when streamed and 32K without streaming. Built for changes across large codebases, math and science problems, long tool-calling agent loops, and image, video, audio, or PDF analysis. Thinking is tunable across low, medium, and high, with medium as the default, and thinking tokens bill as output. It costs noticeably more than Gemini 3.8 Flash; when speed and cost come first, Flash is the better fit. Introductory pricing applies through 30 November 2026; standard rates take over on 1 December 2026.

Technical specifications

Canonical IDgoogle/gemini-4-argon
ProviderGoogle
Context window1,048,576 tokens
OperationsCHAT_COMPLETIONS, RESPONSES
Modalitiesimage, video, audio, text

Pricing

An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.

OperationMetricUnitPrice
CHAT_COMPLETIONSINPUT_TEXTPER_1M_TOKENS$2.00
CHAT_COMPLETIONSCACHE_READPER_1M_TOKENS$0.100000
CHAT_COMPLETIONSOUTPUT_TEXTPER_1M_TOKENS$10.00
CHAT_COMPLETIONSINPUT_AUDIOPER_1M_TOKENS$2.00
CHAT_COMPLETIONSINPUT_IMAGEPER_1M_TOKENS$2.00
CHAT_COMPLETIONSINPUT_VIDEOPER_1M_TOKENS$2.00
CHAT_COMPLETIONSTOOL_CALLPER_1K_CALLS$14.00
RESPONSESINPUT_TEXTPER_1M_TOKENS$2.00

Example usage

With existing OpenAI SDK flows, change only the base URL and model identifier.

curl https://llmtr.com/v1/chat/completions   -H "Authorization: Bearer llmtr-your_key"   -H "Content-Type: application/json"   -d '{"model":"google/gemini-4-argon","messages":[{"role":"user","content":"Hello"}]}'

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