Google has introduced its new LLM model, the Gemini 2.5 Pro, which has been developed using reinforced learning and chain of thought to enhance its performance. Moving forward, the model will continue to be trained with a focus on thinking before responding to ensure a high level of capability.
The test results for the Gemini 2.5 Pro in programming have shown significant improvements. The Aider test results currently surpass the DeepSeek-R1, although it still falls short compared to the SWE-bench verified results that focus on real-world problems against Claude 3.7. However, the performance on the LM Arena has positioned the Gemini 2.5 Pro at the top of the table, closely competing with GPT-4.5 and Grok-3 Preview.
One of the standout features of the Gemini 2.5 Pro is its ability to support input of up to 1 million tokens with plans to expand to 2 million tokens in the future. It is currently available for testing in Google AI Studio and the Gemini app for Gemini Advanced customers. The service through Vertex AI will follow later, with pricing details yet to be disclosed.
TLDR: Google unveils the new Gemini 2.5 Pro model, showcasing enhanced performance through reinforced learning and chain of thought training. Test results demonstrate significant improvements in programming abilities, positioning it as a top contender in the field. Its standout feature includes support for up to 1 million tokens with plans to expand further.
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