Google rolls out Gemini 3 Deep Think mode to AI Ultra subscribers for complex problem-solving

Reviewed byNidhi Govil

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Google launched Gemini 3 Deep Think mode for AI Ultra subscribers at $250/month, delivering advanced reasoning capabilities for complex math, science, and logic problems. The mode achieves 41% on Humanity's Last Exam and 45.1% on ARC-AGI-2, using parallel reasoning to explore multiple hypotheses simultaneously and building on Gemini 2.5's foundation.

Google Introduces Gemini 3 Deep Think to Premium Subscribers

Google has begun rolling out Gemini 3 Deep Think mode to AI Ultra subscribers through the Gemini app, marking a significant step in tackling complex math, science, and logic problems that challenge even the most capable models today

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. The new mode, available to subscribers paying $250/month for Google AI Ultra, delivers advanced reasoning capabilities designed to handle complex problems through what the company describes as its "most advanced reasoning mode"

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Source: AIM

Source: AIM

Tulsee Doshi, senior director of product management at Google, announced the launch on December 4, explaining that users can activate the feature by selecting "Deep Think" in the prompt bar and choosing Gemini 3 Pro from the model dropdown

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. The rollout comes after Google indicated in mid-November that it needed "extra time for safety evaluations and input from safety testers" before making the mode widely available .

Parallel Reasoning Powers Advanced Problem-Solving

At the core of Gemini 3 Deep Think mode lies an advanced parallel reasoning technique that explores multiple hypotheses simultaneously

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. This approach conducts "iterative rounds of reasoning" that can produce "more refined, nuanced code" for better visualizations and prototyping . Unlike standard AI responses that arrive in seconds, answers from Deep Think typically take a few minutes to generate as the system works through complex calculations and logic chains .

Source: 9to5Google

Source: 9to5Google

The reasoning technique builds directly on capabilities developed for Gemini 2.5 Deep Think variants, which recently achieved gold-medal standards at both the International Mathematical Olympiad and the International Collegiate Programming Contest World Finals

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. This improvement over Gemini 2.5 demonstrates measurable progress in handling tasks that require deep analytical thinking.

Strong Performance in Benchmarks Sets Industry Standard

Gemini 3 Deep Think demonstrates strong performance in benchmarks that test the limits of AI reasoning capabilities. The mode scored 41% on Humanity's Last Exam without tools and reached an unprecedented 45.1% on ARC-AGI-2 with code execution

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. These results position the system as a leader in rigorous evaluations that challenge state-of-the-art models.

Google claims the broader Gemini 3 Pro outperforms competing models including OpenAI's GPT-5.1 and Anthropic's Claude Sonnet 4.5 across multiple benchmarks such as LMArena, GPQA Diamond, and MathArena Apex

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. The company has positioned Gemini 3 as a step toward more capable AI systems with expanded multimodal inputs, extended context windows, and new planning tools that can analyze research papers, translate handwritten documents, generate visualizations, and evaluate sports performance

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What This Means for AI Development

The launch signals Google's focus on reasoning-intensive tasks where AI systems must work through problems methodically rather than generate quick responses. For researchers, engineers, and professionals working with complex mathematical or scientific challenges, the mode offers a tool that can explore multiple solution paths before settling on an answer. The emphasis on safety evaluations before release also reflects growing attention to responsible AI deployment as models become more capable. As competition intensifies between Google, OpenAI, and Anthropic, the ability to handle complex problems through advanced reasoning capabilities may become a key differentiator in the AI landscape.

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