The latest Gemini 2.5 Pro model shows significant improvements in coding performance over its predecessors, particularly in its ability to produce accurate and relevant code, while a few users have reported excessive comments in outputs. Generally, users are seeing better integration in their daily coding tasks, replacing traditional search methods. However, there are still concerns regarding the model's inability to match human-level abstraction and architecture capabilities. Comparatively, some users favor Grok 3 for its cost-effective access and better results in certain instances. There are also discussions around the user interface and versioning concerns, highlighting the ongoing evolution in coding AI tools. Key Points: - Improvements in coding ability and reduced hallucinations for non-existent APIs in Gemini 2.5 Pro. - Users note excessive comments in generated code, which can be frustrating. - The ability to handle basic coding tasks is deemed better than search engine reliance. - Comparisons with Grok 3 suggest varying experiences; some users still prefer it for better outputs or lower costs. - Discussions about UI usability issues. - Concerns remain on version clarity and ongoing training effects on model performance.