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Gemini 4 Argon Price: What Google’s New Model Costs in 2026

Gemini 4 Argon starts at $2 per million input tokens and $10 per million output tokens during the introductory period.

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Gemini 4 Argon Price: What Google’s New Model Costs in 2026

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Gemini 4 Argon, released by Google on September 30, 2026, carries an introductory price of $2 per million input tokens and $10 per million output tokens. Cached input costs 95 percent less. After the introductory period ends, pricing will rise to $4 per million input tokens and $20 per million output tokens.

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How Gemini 4 Argon Compares to Other Models

At launch pricing, Gemini 4 Argon sits in the middle of the market. GPT-6 Astra and Claude Fable 5.1 both cost $10 per million input tokens and $50 per million output tokens, making them five times more expensive. GPT-6.1 Sol matches Gemini 4 Argon exactly at $2 input and $10 output. The budget option remains Gemini 3.7 Flash at $0.75 input and $3.75 output.

For a realistic monthly workload processing 100 million input tokens and generating 20 million output tokens, Gemini 4 Argon would cost $400 at introductory rates. The same workload on GPT-6 Astra or Claude Fable 5.1 would run $2,000, while Gemini 3.7 Flash would cost just $150. According to the Artificial Analysis index, tasks on Gemini 4 Argon cost approximately 60 percent less than on GPT-6 Astra while delivering comparable performance.

The model offers a 1,000,000 token context window, matching Claude Fable 5.1 and sitting just below the 1,050,000 token windows of GPT-6 Astra and GPT-6.1 Sol. Google increased the output limit from 64,000 to 1,000,000 tokens, which the company describes as the highest in the industry.

Access begins with trusted defenders in the Fairwind program, followed by paid API customers and Google AI Ultra subscribers, then developers, businesses, and general users. As of September 30, the model is not yet available in the public API, and Google has not announced a date for broader availability.

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Piotr Olszewski

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I edit and publish Quantslant. AI tools help with research, drafts and translation; choosing topics, running the tests, checking facts and the decision to publish are mine, and so is the responsibility for what appears here.

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