Updates to Gemini 2.5 from Google DeepMind
Gemini 2.5 Pro continues to be a favorite among developers, known as the top choice for coding. With the latest update, 2.5 Flash is set to enhance its performance even further. The new update brings additional features to the models, including Deep Think, an experimental mode aimed at enhancing reasoning within 2.5 Pro.
Enhancements to Gemini 2.5 Models
In a recent announcement in March, Google introduced Gemini 2.5 Pro as the most advanced model in the Gemini series. Following that, an early I/O update was made available for developers, offering them the opportunity to create exceptional web applications. Continuing on that trajectory, Google has unveiled further updates to the Gemini 2.5 model series.
Continuous Improvements
The progress made in enhancing these models is a testament to the dedicated efforts of Google's teams to advance their technologies responsibly. The latest updates aim to further refine the user experience based on valuable feedback received.
One of the notable advancements includes the new 2.5 Pro's leading position on the WebDev Arena coding leaderboard, showcasing an ELO score of 1415. Additionally, the model excels in various dimensions on all leaderboards within the LMArena. With a context window of 1 million tokens, 2.5 Pro demonstrates exceptional performance in long context and video understanding, setting a new standard in these areas.
Focus on Learning
Through the integration of LearnLM, a range of models developed in collaboration with educational experts, 2.5 Pro has emerged as the preferred choice for learning tasks. In comparative assessments evaluating pedagogy and effectiveness, Gemini 2.5 Pro surpassed other models across diverse scenarios. The model also outperformed leading models in adhering to the five principles of learning science.
For more detailed insights, refer to the updated Gemini 2.5 Pro model card and the Gemini technology page.
Introducing Deep Think
Google is exploring new frontiers in Gemini's thinking capabilities with the introduction of an enhanced reasoning mode known as Deep Think. This mode, leveraging innovative research techniques, allows the model to consider multiple hypotheses before generating responses.
2.5 Pro Deep Think has demonstrated exceptional performance on challenging benchmarks such as the 2025 USAMO and LiveCodeBench. It boasts an impressive 84.0% score on MMMU, a test focusing on multimodal reasoning.
Continuing with safety evaluations, Google plans to gather feedback from trusted testers via the Gemini API before making Deep Think widely available.
Enhancements to 2.5 Flash
Designed for speed and efficiency, 2.5 Flash has undergone significant improvements across various aspects. With enhanced performance on reasoning, multimodality, coding, and long context, the model now operates more efficiently, using 20-30% fewer tokens in assessments.
The updated 2.5 Flash is currently available for preview in Google AI Studio, Vertex AI, and the Gemini app. It is set to be generally available for production in early June.
Preview of New Features
The Live API now offers a preview version with audio-visual input and native audio output dialogue capabilities. This enhancement enables developers to create more natural conversational experiences with Gemini, allowing customization of tone, accent, and speaking style.
Additional previews include text-to-speech features in 2.5 Pro and 2.5 Flash, supporting multiple speakers and delivering expressive outputs, including subtle nuances like whispers. These capabilities will be accessible through the Gemini API.
Enhanced Security Measures
Google has reinforced security measures within the Gemini models, particularly addressing threats like indirect prompt injections. The implementation of a new security approach has significantly increased the protection rate against such attacks, making Gemini 2.5 models the most secure in the family.
For detailed information on security, responsibility, and safety measures, refer to Google's dedicated efforts and the advancements made in securing Gemini.
Streamlining Model Interaction
2.5 Pro and Flash models will now include thought summaries through the Gemini API and Vertex AI. These summaries organize the model's thought processes into a structured format, aiding developers and users in understanding and troubleshooting interactions more effectively.
Additionally, thinking budgets have been introduced to provide developers with greater control over costs by balancing latency and quality. This capability will be extended to 2.5 Pro in the coming weeks, ensuring stable production use.
Support for Model Context Protocol
Native SDK support for Model Context Protocol (MCP) definitions has been added to the Gemini API, facilitating seamless integration with open-source tools. Google is exploring avenues to deploy MCP servers and other hosted tools, simplifying the process for developers to create innovative applications.
With a commitment to innovation and efficiency, Google continues to refine its models based on developer feedback and push the boundaries of Gemini's capabilities. Stay tuned for more updates and advancements in the near future.
Explore more about Gemini and its capabilities on Google's website.
