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Gemini 4 Argon Available Now: Pricing and Details

Google makes Gemini 4 Argon generally available across paid API tiers, Antigravity, and Gemini apps. Here are the full rollout details.

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Gemini 4 Argon Available Now: Pricing and Details

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Google announced Gemini 4 Argon on September 30, 2026, initially limiting access to trusted cyber defenders participating in the Fairwind Program. On October 13, 2026, Google officially made the model generally available worldwide. Model availability spans multiple enterprise environments, developer consoles, and high-tier consumer applications, though access rules differ depending on the platform.

According to Google and Sundar Pichai, Gemini 4 Argon is now open to developers and enterprises in the paid tier of the Gemini API through Google AI Studio, as well as via the Gemini platform for business. There is no free tier for Gemini 4 Argon in the Gemini API. For platform subscribers, Google AI Ultra accounts gain access inside Google Antigravity, while both Google AI Ultra and Pro subscribers receive it in the Gemini app and AI Mode in Search. However, Google states the app rollout started on October 13 and may not appear in every Pro account immediately, meaning Pro availability is gradual.

Pricing Tiers and Independent Benchmark Scores

The API operates under an introductory pricing scheme lasting until November 30, 2026. During this introductory phase, standard API calls cost $2 per 1M input tokens and $10 per 1M output tokens (with thinking tokens counted as output), alongside $0.10 per 1M cached input tokens. Batch processing is priced at $1 input and $5 output per 1M tokens. Starting December 1, 2026, standard pricing takes effect at $4 input, $20 output, $0.20 cached input, and $2 input / $10 output for batch jobs. In the Gemini API, developers query the model using the id gemini-4-argon, while OpenRouter hosts it under google/gemini-4-argon.

In performance evaluations, the independent Artificial Analysis Intelligence Index scored Gemini 4 Argon at 53. This matches GPT-6 Astra (53) and edges out GPT-6.1 Sol (52), though Claude Opus 5.5 remains ahead at 58. The independent index cost $1.99 per task to run on Argon at introductory rates, roughly 60% of the $3.26 per task required for GPT-6 Astra. At standard rates, the run costs $3.98 per task. Artificial Analysis also recorded a 15% hallucination rate for Argon - the lowest among models scoring 45 or higher - compared to 51% for GPT-6 Astra.

More on the model: Gemini 4 Argon hub - prices, availability, benchmarks and FAQ

Kinetyra

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Piotr Olszewski

Editor and publisher · Quantslant

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.

read nextGemini 4 Argon Context Window: Limits and SpecsnewsGemini 4 Argon Context Window: Limits and SpecsA breakdown of the 1,048,576-token context window in Gemini 4 Argon, including API limits, output capacity, and token pricing.

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