4 Sources
4 Sources
[1]
Google rolling out Gemini 3 Deep Think to AI Ultra
Deep Think is Google's "most advanced reasoning mode" that leverages an advanced parallel reasoning technique to "explore multiple hypotheses simultaneously." These "iterative rounds of reasoning" can result in "more refined, nuanced code" for better visualizations and prototyping. This is for complex math, science, and logic problems, with answers usually taking a few minutes to come back. Building on the Gemini 2.5 version introduced in August, Deep Think has marked improvements in the following benchmarks: In mid-November, Google said it needed "extra time for safety evaluations and input from safety testers." Google AI Ultra subscribers ($250/month) can now access "Deep Think" from the Tools menu when "Thinking" is set in the model dropdown.
[2]
Gemini 3 Deep Think is now available in the Gemini app.
Today, we're rolling out Gemini 3 Deep Think mode to Google AI Ultra subscribers in the Gemini app. This new mode delivers a meaningful improvement in reasoning capabilities, designed to tackle complex math, science and logic problems that challenge even the most advanced state-of-the-art models. Gemini 3 Deep Think excels on rigorous benchmarks like Humanity's Last Exam and ARC-AGI-2. This is because it uses advanced parallel reasoning to explore multiple hypotheses simultaneously -- building on Gemini 2.5 Deep Think variants that recently achieved a gold-medal standard at the International Mathematical Olympiad and at the International Collegiate Programming Contest World Finals. Ultra subscribers can try Gemini 3 Deep Think mode today by selecting "Deep Think" in the prompt bar and Gemini 3 Pro in the model dropdown.
[3]
Google Launches Gemini 3 Deep Think Mode for Ultra Subscribers | AIM
The system uses parallel reasoning to test multiple hypotheses, building on earlier Deep Think variants. Google has introduced Gemini 3 Deep Think mode within the Gemini app, offering advanced reasoning capabilities for complex problem-solving. "Gemini 3 Deep Think is now available in the Gemini app," wrote Tulsee Doshi, senior director of product management, in an announcement on December 4. The new mode is available to Google AI Ultra subscribers and is designed to handle complex math, science, and logic queries. Users can access the feature by selecting "Deep Think" in the prompt bar and choosing Gemini 3 Pro from the model menu. According to Google, Gemini 3 Deep Think demonstrates strong performance on benchmarks such as Humanity's Last Exam, where it scored 41% without tools, and ARC-AGI-2, where it reached 45.1% with code execution. The system uses parallel reasoning to test multiple hypotheses, building on earlier Deep Think variants that performed well in competitions like the International Mathematical Olympiad and the ICPC World Finals. Google recently launched the broader Gemini 3 lineup, positioning it as a step toward more capable AI systems. The company said Gemini 3 Pro outperforms Gemini 2.5 Pro, OpenAI's GPT-5.1, and Anthropic's Claude Sonnet 4.5 across benchmarks, including LMArena, Humanity's Last Exam, GPQA Diamond, and MathArena Apex. With expanded multimodal inputs, extended context windows and new planning tools, Google said Gemini 3 can be applied to tasks such as analysing research papers, translating handwritten documents, generating visualisations, and evaluating sports performance. The company also said Search's AI Mode now includes generative UI features and interactive simulations.
[4]
Google rolls out Gemini 3 Deep Think to AI Ultra subscribers
Google is rolling out Gemini 3 Deep Think mode to Google AI Ultra subscribers in the Gemini app to enhance reasoning capabilities for complex math, science, and logic problems that challenge advanced models. This mode provides a substantial boost in handling intricate tasks. It excels on demanding benchmarks, achieving 41.0 percent on Humanity's Last Exam without tools and an unprecedented 45.1 percent on ARC-AGI-2 with code execution. These results position Gemini 3 Deep Think as a leader in the industry for rigorous evaluations. The technology relies on advanced parallel reasoning, which allows simultaneous exploration of multiple hypotheses. This approach builds directly on the capabilities of Gemini 2.5 Deep Think variants. Those earlier versions recently met gold-medal standards at the International Mathematical Olympiad and the International Collegiate Programming Contest World Finals, demonstrating high performance in competitive mathematical and programming challenges. Ultra subscribers gain immediate access to Gemini 3 Deep Think mode. They can activate it by selecting "Deep Think" in the prompt bar and choosing Gemini 3 Pro from the model dropdown within the Gemini app.
Share
Share
Copy Link
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 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
1
2
. 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"1
.
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
3
. 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 .At the core of Gemini 3 Deep Think mode lies an advanced parallel reasoning technique that explores multiple hypotheses simultaneously
2
4
. 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
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
2
4
. This improvement over Gemini 2.5 demonstrates measurable progress in handling tasks that require deep analytical thinking.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
3
4
. 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
3
. 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 performance3
.Related Stories
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.
Summarized by
Navi
[1]