Google's Gemini 2.5 Models Gain "Deep Think" Reasoning

Google today unveiled significant upgrades to its Gemini 2.5 AI models, introducing an experimental 'Deep Think' reasoning mode for 2.5 Pro that allows the model to consider multiple hypotheses before responding. The new capability has achieved impressive results on complex benchmarks, scoring highly on the 2025 USA Mathematical Olympiad and leading on LiveCodeBench, a competition-level coding benchmark. Gemini 2.5 Pro also tops the WebDev Arena leaderboard with an ELO score of 1420.

'Based on Google's experience with AlphaGo, AI model responses improve when they're given more time to think,' said Demis Hassabis, CEO of Google DeepMind. The enhanced Gemini 2.5 Flash, Google's efficiency-focused model, has improved across reasoning, multimodality, and code benchmarks while using 20-30% fewer tokens. Both models now feature native audio capabilities with support for 24+ languages, thought summaries, and 'thinking budgets' that let developers control token usage. Gemini 2.5 Flash is currently available in preview with general availability expected in early June, while Deep Think remains limited to trusted testers during safety evaluations.

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