New Gemini API updates for Gemini 3
Blog post from Google Cloud
Gemini 3, the latest and most advanced model from the Gemini suite, offers developers enhanced capabilities through the Gemini API, providing state-of-the-art reasoning, autonomous coding, and multimodal understanding. Key updates include a new thinking_level parameter that allows developers to control the depth of the model's reasoning, enabling them to optimize for either complexity or efficiency depending on the task. The media_resolution parameter provides granular control over how images, videos, and documents are processed, balancing visual fidelity with token usage. Thought Signatures, encrypted representations of the model's internal thought process, are introduced to maintain reasoning chains across interactions, crucial for complex workflows. Additionally, the API supports grounding with Google Search, which now features a more flexible pricing model, and allows integration of live web data into structured outputs. These enhancements, along with recommended best practices like maintaining consistency and clarity in multi-modal inputs, aim to optimize the performance of Gemini 3 in diverse applications, from vibe coding to complex problem solving.
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