The first release in the Gemini 2.5 series is an experimental version of Gemini 2.5 Pro. It’s already topping benchmark charts and showing major improvements in reasoning, coding, and understanding complex information.
Koray Kavukcuoglu, CTO of DeepMind, calls it a “thinking model.” That means it doesn’t just respond quickly—it thinks through problems, uses logic, and considers context before giving an answer.
What Makes Gemini 2.5 Different?
Gemini 2.5 builds on years of research into how AI can reason and solve problems more like a human. It uses techniques like chain-of-thought prompting and reinforcement learning to improve how it processes and responds to information.
Kavukcuoglu says the model combines a stronger base with better post-training—leading to higher accuracy and more useful responses.
Google plans to bring this kind of reasoning into all of its future AI models.
It’s Already Leading on Key Benchmarks
Gemini 2.5 Pro now ranks #1 on the LMArena leaderboard, which measures how well people prefer the model’s answers compared to others.
It also scored high in subjects that need strong logic and reasoning, like:
- Math and science benchmarks (e.g., AIME 2025, GPQA)
- Humanity’s Last Exam – a test created by experts to measure advanced reasoning, where it scored 18.8%
- SWE-Bench Verified – a top benchmark for code generation and editing, where it scored 63.8%
Gemini 2.5 Pro can generate working video games from a simple, one-line prompt. It’s also strong in coding tasks like transforming and editing code, and creating full web apps with clean, usable layouts.
Multimodal and Built for Big Contexts
Like earlier Gemini models, 2.5 supports multimodal input—text, images, audio, video, and code. But 2.5 Pro goes further with a 1 million token context window, with plans to double it soon. This means it can take in large documents, codebases, or even full multimedia projects at once.
You can now try Gemini 2.5 Pro in Google AI Studio, or access it in Gemini Advanced via desktop or mobile. A rollout to Vertex AI is planned in the coming weeks.
What’s Next?
Google is encouraging developers to experiment with Gemini 2.5 and share feedback. That input will help shape future versions and guide how Google brings “thinking” models into more real-world applications.
