The Gemini Batch API now offers robust support for the new Gemini Embedding model and compatibility with the OpenAI SDK. This enhancement enables developers to process batches asynchronously at a reduced rate—50% lower, specifically $0.075 per 1M input tokens—ideal for cost-sensitive and latency-tolerant applications. The API simplifies integration; users can create and upload batch requests with minimal code, streamlining the embedding process. Enhanced OpenAI compatibility allows seamless switching for developers familiar with the OpenAI SDK. By updating just a few lines of code, users can leverage the Gemini Batch API to create and manage embedding jobs efficiently. With an emphasis on cost optimization and increased rate limits, the Gemini Batch API is poised to support a wide range of applications. Stay updated for further expansions and enhancements. For detailed information and coding examples, refer to the official documentation. Happy building!
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