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Gemini 4 Argon Pricing and Day 0 Availability
#46238
Call gemini-4-argon through the LiteLLM AI Gateway on Google AI Studio and Gemini Enterprise Agent Platform (formerly Vertex AI). Spend tracking, rate limits, fallbacks and logging are in one place.
Launch pricing through November 30, 2026 - $2.00 / MTok input and $10.00 output on Google AI Studio, with $0.10 cached input. The context window is 1,048,576 tokens for input and output together.
Worth checking before you route traffic to it:
Prices double on December 1, 2026, to $4.00 input, $20.00 output and $0.20 cached input. Thinking tokens bill as output.
Argon does not support thinking_budget. Use thinking_level instead: low, medium or high.
Get started, no redeploy needed:
Pricing landed in PR #46227. Reload your pricing in the UI under Models + Endpoints -> Price Data -> Reload Price Data (or POST /reload/model_cost_map as an admin), on any version v1.76.0 or newer.
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Gemini 4 Argon is now supported on LiteLLM
Call
gemini-4-argonthrough the LiteLLM AI Gateway on Google AI Studio and Gemini Enterprise Agent Platform (formerly Vertex AI). Spend tracking, rate limits, fallbacks and logging are in one place.Launch pricing through November 30, 2026 - $2.00 / MTok input and $10.00 output on Google AI Studio, with $0.10 cached input. The context window is 1,048,576 tokens for input and output together.
Worth checking before you route traffic to it:
Prices double on December 1, 2026, to $4.00 input, $20.00 output and $0.20 cached input. Thinking tokens bill as output.
Argon does not support
thinking_budget. Usethinking_levelinstead: low, medium or high.Get started, no redeploy needed:
Pricing landed in PR #46227. Reload your pricing in the UI under Models + Endpoints -> Price Data -> Reload Price Data (or POST /reload/model_cost_map as an admin), on any version v1.76.0 or newer.
For Agent Platform, use the model name
vertex_ai/gemini-4-argon. Its pricing lands in PR #46228.Read the full guide → Gemini 4 Argon API Pricing and Day 0 Support on LiteLLM
Misbah Syed
DevRel @ LiteLLM
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