Source URL: https://simonwillison.net/2025/May/6/gemini-25-pro-preview/#atom-everything
Source: Simon Willison’s Weblog
Title: Gemini 2.5 Pro Preview: even better coding performance
Feedly Summary: Gemini 2.5 Pro Preview: even better coding performance
New Gemini 2.5 Pro “Google I/O edition" model, released a few weeks ahead of that annual developer conference.
They claim even better frontend coding performance, highlighting their #1 ranking on the WebDev Arena leaderboard. They also highlight "state-of-the-art video understanding" with a 84.8% score on the new-to-me VideoMME benchmark.
I rushed out a new release of llm-gemini adding support for the new gemini-2.5-pro-preview-05-06 model ID, but it turns out if I had read to the end of their post I should not have bothered:
For developers already using Gemini 2.5 Pro, this new version will not only improve coding performance but will also address key developer feedback including reducing errors in function calling and improving function calling trigger rates. The previous iteration (03-25) now points to the most recent version (05-06), so no action is required to use the improved model
I’m not a fan of this idea that a model ID with a clear date in it like gemini-2.5-pro-preview-03-25 can suddenly start pointing to a brand new model!
Tags: llm-release, gemini, ai-assisted-programming, ai, llms, generative-ai, vision-llms
AI Summary and Description: Yes
Summary: The text discusses the launch of the Gemini 2.5 Pro “Google I/O edition,” highlighting its enhanced coding performance and advanced video understanding capabilities. The update addresses key developer feedback, particularly in error reduction and function calling improvements, creating significant implications for the AI and software security landscape.
Detailed Description:
The text outlines the latest advancements in the Gemini 2.5 Pro model by Google, coinciding with their annual developer conference. The new model’s features and performance improvements are particularly relevant for professionals in AI and software development, delineating how these advancements can enhance productivity and reduce errors in coding tasks.
Key points include:
– **Improved Coding Performance**: The Gemini 2.5 Pro model has achieved a #1 ranking on the WebDev Arena leaderboard, showcasing its superiority in frontend coding operations.
– **Enhanced Video Understanding**: It received a score of 84.8% on the VideoMME benchmark, demonstrating its capabilities in processing and understanding video content, which can be crucial for applications incorporating multimedia data.
– **Addressing Developer Feedback**: The new version (05-06) specifically targets issues raised by developers, including:
– Reduction in errors encountered during function calls.
– Improvement in the rates at which function calls are triggered, aiding to the reliability of the model in practical applications.
– **Model ID Concerns**: There is a critique regarding the practice of updating a model ID (e.g., gemini-2.5-pro-preview-03-25) to point to a newly released version without requiring extra actions from developers, which could lead to confusion regarding model updates and version tracking.
This update underscores the importance of continual improvement in AI models, particularly as they relate to software security and functionality, making it imperative for security and compliance professionals to stay informed about such developments in AI technologies. The implications of these advancements extend into development practices and their compliance with security standards and governance related to software development workflows in secure environments.