Google Unveils Deep Think to Enhance Gemini AI Performance

Google is advancing its top-tier Gemini AI models.

At Google I/O 2025 on Tuesday, the company introduced Deep Think, an advanced reasoning mode for its premier Gemini 2.5 Pro model. Deep Think enables the model to evaluate multiple responses before answering, improving its results on specific benchmarks.

“Deep Think maximizes model capabilities,” said Demis Hassabis, leader of Google DeepMind, the company’s AI research division, during a press briefing. “It leverages our most advanced research in reasoning and parallel processing techniques.”

Google remained discreet about Deep Think’s mechanics, but the technology may resemble OpenAI’s o1-pro and forthcoming o3-pro models, which likely employ an engine to identify and refine optimal solutions for complex queries.

Google reports that Deep Think propelled Gemini 2.5 Pro to lead LiveCodeBench, a rigorous coding assessment. Additionally, Gemini 2.5 Pro with Deep Think surpassed OpenAI’s o3 on MMMU, a benchmark testing skills like perception and reasoning.

Deep Think is accessible to “trusted testers” through the Gemini API starting this week. Google noted it is conducting thorough safety assessments before a broader rollout.

In addition to Deep Think, Google unveiled an upgrade to its cost-effective Gemini 2.5 Flash model, enhancing its performance in coding, multimodality, reasoning, and handling extended contexts. The updated, more efficient Gemini 2.5 Flash is available for preview in Google’s AI Studio, Vertex AI platforms, and Gemini apps.

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Google stated that the enhanced Gemini 2.5 Flash will be broadly available to developers in June.

Finally, Google introduced Gemini Diffusion, a model touted as “highly efficient,” delivering outputs four to five times faster than similar models while matching the performance of those twice its size. Gemini Diffusion is available to “trusted testers” starting today.