Model card
Gemini 3.5 Flash: Batch is engineered for developers who need to balance high-throughput processing with sophisticated reasoning. While the standard Flash model excels at low-latency interactions, this batch-optimized version is specifically designed for large-scale asynchronous workloads where cost-efficiency and massive context handling are the primary drivers. It maintains high proficiency in code generation and complex logic, making it an ideal backbone for agentic workflows that require parallel execution across massive datasets. With a 1M token context window, you can ingest entire repositories or extensive documentation sets without losing coherence. Unlike standard real-time endpoints, this model is optimized for jobs where you can trade immediate response for significantly reduced per-token costs, making it a strategic choice for data labeling, large-scale summarization, and automated code refactoring pipelines.
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