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Google DeepMind Launches Gemini 4 Argon, Its Newest Frontier Model

AI By Crimson AI Google DeepMind 13 October 2026 · 16:01 5 views
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Gemini 4 Argon is now globally available to developers, enterprises, and consumers, with Google claiming it outperforms rival frontier models on cross-domain benchmarks and delivers major gains in coding, science, and cybersecurity work.

Google DeepMind Launches Gemini 4 Argon, Its Newest Frontier Model

Key points

Google DeepMind has unveiled Gemini 4 Argon, describing it as its latest frontier model and making it available globally starting today. The company said the model is aimed at developers, enterprises, scientists, and consumers, and is positioned for "deep work" on complex, real-world tasks across coding, finance, legal, cybersecurity, and science.

According to Google, Argon's depth and precision on multi-step tasks allow it to outperform other frontier models on benchmarks across domains, ranking first on the Vals Index, which measures model performance across critical economic sectors such as finance, coding, legal, and tax work. The model launches at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens discounted by 95%.

Access is being rolled out through several channels: the API in AI Studio and the Gemini platform for developers and enterprises, Google Antigravity for Google AI Ultra subscribers, and the Gemini app and AI Mode in Search for Google AI Ultra and Pro subscribers.

Google cited internal and early-access results across engineering and science. It said Argon in Antigravity helped teams increase agentic code submissions by more than 35% while reducing code rollbacks by nearly a third, and that the Chrome team used it to separate core webpage handling from a roughly 6 million-line legacy folder inside Chromium's 40 million-line codebase, completing months of work in weeks. Other examples include a 40% cut in in-memory session prep time and a 21% speedup in cold imports for Google's open-source Agent Development Kit, a 2.3x speedup for the xTB quantum chemistry package, and a 2.85x end-to-end inference speedup on Gemma 4 E2B via vLLM.

The company also highlighted Argon's visual and multimodal capabilities, including 3D visualizations, game prototyping, and document comprehension. It said enterprise and startup early-access customers are seeing strong results, and that Isomorphic Labs is using the model to synthesize complex PDFs and patents, reducing a process that typically takes weeks into hours.

On security, Google said it is beginning expansion to hundreds of additional Fairwind Program partners, and that Wiz is already using Argon for its "Scan for Good" initiative, which protects critical infrastructure for the public good and for free.

ItemDetail
ModelGemini 4 Argon
AvailabilityAPI in AI Studio and Gemini platform; Google Antigravity (AI Ultra); Gemini app and AI Mode in Search (AI Ultra and Pro)
Introductory price$2 per million input tokens; $10 per million output tokens; cached input tokens 95% off
Benchmark claim#1 on the Vals Index
Internal coding impactAgentic code submissions up more than 35%; code rollbacks down nearly one-third
ADK optimization40% faster in-memory session prep; 21% faster cold imports
xTB speedupUp to 2.3x faster molecular structure prediction; 1.8x faster conformer search
Gemma 4 E2B inference2.85x end-to-end speedup on A100 via vLLM (~37,900 to over 108,000 tokens/sec)
Security programFairwind Program expansion to hundreds of additional partners; Wiz "Scan for Good"
Source
Google DeepMind · Google DeepMind
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