Gemini 4 Argon's $2/$10 API Pricing Doubles December 1 — Full Price Table
Google released its flagship model Gemini 4 Argon on October 13, and the API pricing comes with an expiration date: $2 per million input tokens and $10 per million output tokens until November 30. From December 1, every tier doubles. If you're planning to build on it, the next six weeks are the cheapest they'll ever be. Here's the full price table, where it's available, and what Google's claims…
Google unveiled its top model Gemini 4 Argon on October 13, with API pricing set to double starting December 1. The initial rates are $2 per million input tokens and $10 per million output tokens, valid until November 30. Afterward, every pricing tier will be doubled. If you're considering building on this model, the next six weeks offer the lowest prices available.
Gemini 4 Argon is positioned for complex, multi-step tasks across various domains such as coding, finance, law, cybersecurity, and science. It is not available on the API's free tier and follows a period of upheaval for Google, including scrapping Gemini 3.5 Pro and reshuffling DeepMind leadership.
The price table for each tier is as follows: Standard at $2 input and $10 output, Batch and Flex at $1 input and $5 output, and Priority at $3.60 input and $18 output. Cached input, which refers to text already processed by the model, enjoys a 95% discount, making it particularly advantageous for agentic workflows that need to re-read context.
Batch and Flex tiers trade speed for a discounted price, while Priority provides faster, more reliable responses at a higher cost. Notable users of the model include Deloitte, LexisNexis, Ambience Healthcare, and Isomorphic Labs, according to Google.
Google has also opened its Fairwind Program to more cybersecurity partners and provided 10,000 scientists with six months of free access to the model's top tier. However, Google's recent track record, including scrapping Gemini 3.5 Pro and leadership changes, may raise concerns about the stability of its roadmap.
The model's pricing is competitive with other frontier models during the introductory period, but the December price hike should be considered when planning your architecture. The 95% discounted cached input can significantly reduce effective costs for agentic use cases. While the model shows promise, it's advisable to prototype now while the prices are favorable and commit to a longer-term commitment after independent benchmarks are available.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
