Gemini 4 Argon launch offer: $2 per 1 million input tokens and $10 per 1 million output tokens

Gemini 4 Argon has no free tier.On the paid tier of the Gemini API, it costs $2 per 1 million input tokens and $10 per 1 million output tokens through November 30, 2026, then $4 and $20, respectively, starting December 1, 2026.Google Cloud returns 50% of net spend on eligible models as credits in a promotion through November 30, 2026.

What you get

Gemini API paid tier launch promotional price through November 30, 2026: $2.00 per 1 million input tokens and $10.00 per 1 million output tokens

Price

Billed according to token usage. On the paid tier of the Gemini API, the price is $2.00 per 1 million input tokens and $10.00 per 1 million output tokens through November 30, 2026, then $4.00 per 1 million input tokens and $20.00 per 1 million output tokens starting December 1, 2026. On Google Cloud, 50% of net spend on eligible models is returned as credits during the promotion period, through November 30, 2026.

Valid until

The launch promotional price ends on November 30, 2026. Starting December 1, 2026, the Gemini API paid tier costs $4.00 per 1 million input tokens and $20.00 per 1 million output tokens.

Requirements

- Not available on the free tier.It is available on the paid tiers of the Gemini API in AI Studio and Android Studio, and on Google Cloud.- According to the official blog, it has been launched worldwide.- Gemini API paid-tier pricing per 1 million tokens is $2.00 for input and $10.00 for output through November 30, 2026 (launch promotional pricing), and $4.00 for input and $20.00 for output starting December 1, 2026.- On Google Cloud, promotional pricing is offered by returning 50% of net spending on eligible models as credits through November 30, 2026.- Input, thinking, and output tokens share a single combined context window of 1,048,576 tokens (1M tokens).The output token limit has been increased from 64K tokens to up to 1M tokens.- Standard synchronous responses stop at 65,536 tokens.To generate longer responses, set background=True and set max_output_tokens to more than 65,536.In this case, a single response can output up to the combined 1M-token context window minus the input tokens.

Check the conditions on the official page ↗