Google released its new flagship artificial intelligence model, Gemini 4 Argon, to developers and businesses worldwide on October 13, seeking to regain momentum against rivals OpenAI and Anthropic after months of delays and a leadership shakeup at its DeepMind lab. The model is built for what Google calls “deep work” — complex, multi-step tasks across coding, finance, law, cybersecurity and science.
FAKTA
- Google released its flagship AI model Gemini 4 Argon on October 13, 2026, for developers, enterprises and subscribers worldwide
- The model targets complex multi-step tasks in coding, finance, law, cybersecurity and science; Google says it ranks #1 on the Vals Index benchmark across economic sectors
- Launch pricing starts at $2 per million input tokens and $10 per million output tokens, doubling to $4/$20 after November 30
- Early enterprise testers include Deloitte, LexisNexis, Ambience Healthcare and Isomorphic Labs
- Google will open its Fairwind Program to hundreds more cybersecurity partners and give 10,000 scientists six months of free access to its Antigravity coding tool’s highest tier
- The release follows the September cancellation of Gemini 3.5 Pro and an overhaul of DeepMind after co-founder and CEO Demis Hassabis stepped aside
Gemini 4 Argon: what Google released
Gemini 4 Argon is now globally available to developers and enterprises via the Gemini API, and to Google AI subscribers in Google Antigravity, the Gemini app and AI Mode in Search, according to Google’s announcement by Koray Kavukcuoglu, SVP of Google DeepMind and Chief AI Architect. Google says the model’s depth and precision across multi-step tasks put it ahead of other frontier models on benchmarks across domains, ranking first on the Vals Index, which measures performance across critical economic sectors such as finance, coding, legal and tax work.
API access starts at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens at 95% off. After the introductory period expires on November 30, 2026, prices move to $4 per million input tokens and $20 per million output tokens.
Early results and enterprise testers
Google said teams using Argon in its Antigravity coding tool increased agentic code submissions by more than 35% while reducing code rollbacks by nearly a third. Customers testing the model early include Deloitte, LexisNexis, Ambience Healthcare and Isomorphic Labs. In research, teams have applied Argon to large codebase refactoring, business workflow optimization across legal, finance and science, finding and patching critical cybersecurity vulnerabilities, and work in quantum computing, nuclear fusion and life sciences, according to the company.
Access tiers vary: Google AI Pro and Ultra subscribers can use the model through the Gemini app and AI Mode in Search, while the Antigravity coding tool is limited to Ultra subscribers.
A rocky road to the Gemini 4 Argon launch
The launch follows a difficult stretch for Google’s AI efforts, as reported by Reuters. In September, the company announced it no longer planned to release Gemini 3.5 Pro, which CEO Sundar Pichai had originally said would arrive in June. Google also overhauled DeepMind after its co-founder and CEO Demis Hassabis stepped aside and several leaders of its Gemini model team left the company.
Separately, Google said it would open its Fairwind Program — which gives vetted cybersecurity defenders a version of Argon without its cyber guardrails — to hundreds of additional partners, and will offer 10,000 scientists six months of free access to Antigravity’s highest usage tier.
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Conclusion
With Gemini 4 Argon, Google is betting that “deep work” — sustained, multi-step reasoning across coding, finance, law and science — is where the next phase of the AI race will be won. The introductory pricing, the enterprise-first rollout and the researcher access program all signal a company trying to convert benchmark leadership into real-world adoption after a year of setbacks.
