Google Unveils Gemini 2.5 Pro, Its Latest AI Reasoning Model With Significant Benchmark Gains

Google DeepMind has launched Gemini 2.5, a new family of AI models designed to 'think' before responding to queries. The initial release, Gemini 2.5 Pro Experimental, tops the LMArena leaderboard by what Google claims is a 'significant margin' and demonstrates enhanced reasoning capabilities across technical tasks. The model achieved 18.8% on Humanity's Last Exam without tools, outperforming most competing flagship models. In mathematics, it scored 86.7% on AIME 2025 and 92.0% on AIME 2024 in single attempts, while reaching 84.0% on GPQA's diamond benchmark for scientific reasoning.

For developers, Gemini 2.5 Pro demonstrates improved coding abilities with 63.8% on SWE-Bench Verified using a custom agent setup, though this falls short of Anthropic's Claude 3.7 Sonnet score of 70.3%. On Aider Polyglot for code editing, it scores 68.6%, which Google claims surpasses competing models. The reasoning approach builds on Google's previous experiments with reinforcement learning and chain-of-thought prompting. These techniques allow the model to analyze information, incorporate context, and draw conclusions before delivering responses. Gemini 2.5 Pro ships with a 1 million token context window (approximately 750,000 words). The model is available immediately in Google AI Studio and for Gemini Advanced subscribers, with Vertex AI integration planned in the coming weeks.

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