Models·
Gemini 4 Argon Launches as Google’s New Frontier Model for Complex Tasks
Google’s Gemini 4 Argon is now available via API and AI Studio, offering strong performance in coding, finance, legal, cybersecurity and scientific workloads with competitive pricing.
Google has made Gemini 4 Argon generally available today through its API, AI Studio and the Gemini platform, with special access for AI Ultra subscribers in Google Antigravity and the Gemini app.
The model achieves top scores on the Vals Index, which measures performance across finance, coding, legal and tax domains, and shows notable gains in multi‑step reasoning tasks.
Early adopters report faster large‑scale code refactoring, quicker detection of cybersecurity flaws, and accelerated workflows in finance, legal and scientific research, including quantum chemistry and nuclear‑fusion simulations.
Why it matters for GPU/AI infrastructure
With input tokens priced at $2 per million and output tokens at $10 per million (cached input at 95 % off), Argon encourages high‑volume inference workloads that benefit from dense GPU clusters and low‑latency interconnects.
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By AiGpu Editorial · Editorial rewrite based on public reporting (Google AI Blog)
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