According to Google Gemini on X, the updated Gemini 3 Deep Think is now available to Google AI Ultra users via the web link and within the Gemini app by selecting the Deep Think tool (source: @GeminiApp, Feb 13, 2026). According to the post, the feature is positioned as a dedicated reasoning mode, signaling Google’s push into longer, multi-step problem solving for coding assistance, data analysis, and research workflows. As reported by the official Google Gemini account, immediate access for AI Ultra subscribers suggests a premium differentiation strategy that could increase paid conversion and retention among enterprise and prosumer segments seeking structured reasoning and planning capabilities. According to the same source, in-app activation through the tools menu indicates Google’s intent to integrate Deep Think as a reusable workflow component, enabling businesses to standardize repeatable prompts for analytics, product roadmapping, and technical documentation.

According to @demishassabis, Google AI Ultra subscribers can now access Gemini 3 Deep Think mode in the Gemini app, with product details provided in Google’s official blog. According to Google Blog, Deep Think is designed for multi-step reasoning with extended deliberation time, enabling complex planning, code generation, and data analysis tasks that benefit from longer context and chain-of-thought style internal processing. As reported by Google Blog, early access is limited to AI Ultra tier users inside the Gemini app, signaling a premium monetization path for advanced reasoning features and positioning Gemini 3 against OpenAI’s o3 and Anthropic’s Claude Opus in enterprise-grade reasoning benchmarks. According to Google Blog, business use cases include multi-source research synthesis, financial modeling, and long-form content structuring, and the rollout suggests opportunities for SaaS vendors to integrate Deep Think via Google’s ecosystem for higher accuracy workflows like RFP drafting and compliance review. As reported by Google Blog, the feature emphasizes reliability safeguards and usage guidance for longer inference times, implying higher per-query costs but potentially improved task completion rates for knowledge work and developer productivity.

According to Demis Hassabis on X (Twitter), Google DeepMind’s Gemini 3 Deep Think achieved 84.6% on ARC-AGI-2, 48.4% on Humanity’s Last Exam without tools, and a 3455 Elo rating on Codeforces, setting new records in math, science, and reasoning benchmarks. As reported by the post, these scores signal stronger generalization and competitive programming ability, which can translate to higher reliability in enterprise workflows like scientific analysis, code synthesis, and automated testing. According to the announcement, outperforming prior state-of-the-art on ARC-AGI-2 and reaching 3455 Elo positions Gemini 3 Deep Think as a top contender for tasks demanding multi-step reasoning, offering businesses opportunities to cut cycle times in R&D, accelerate software delivery, and reduce inference retries in production LLM pipelines.

According to @demishassabis, Google AI Ultra subscribers can now access Gemini 3 Deep Think mode in the Gemini app, with full details outlined on the Google Blog. According to the Google Blog, Deep Think is designed for multi-step reasoning, extended context planning, and tool-augmented problem solving, targeting use cases like complex coding assistance, multi-document analysis, and research planning. As reported by the Google Blog, early access is available via the Gemini app for Ultra-tier users, positioning Deep Think as a premium capability that could increase subscription ARPU and differentiate Google’s AI stack for enterprise and prosumer segments. According to the Google Blog, Deep Think emphasizes chain-of-thought style planning outputs while maintaining safety controls, which may improve reliability for workflows like RFP drafting, data pipeline debugging, and product requirement synthesis. As reported by @demishassabis, the rollout is immediate for eligible users, creating near-term opportunities for app developers to test longer-context agents, for enterprises to pilot structured reasoning assistants in regulated processes, and for creators to streamline research-to-draft pipelines within the Gemini ecosystem.

According to Sundar Pichai, Google has rolled out the updated Gemini 3 Deep Think mode to Ultra subscribers in the Gemini app and opened early API access for select researchers and enterprises (as posted on X). According to the Google Blog, Deep Think is designed for multi-step reasoning and long-horizon tasks, enabling use cases like complex RFP analysis, financial modeling, scientific literature synthesis, and multi-document planning via the Gemini API. As reported by Google, the early access program targets vetted partners, signaling a go-to-market path for high-value reasoning workloads in regulated and research-heavy industries. According to the Google Blog, this API access can streamline backend orchestration for enterprise apps by centralizing chain-of-thought style planning into a managed model interface, potentially reducing development overhead for multi-agent pipelines. As reported by Google, making Deep Think available in the consumer app for Ultra subscribers also provides a user feedback loop that can accelerate model refinement for enterprise-grade reasoning benchmarks.