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A Generative AI Engineer is building an LLM-powered application where documents used by the retriever are chunked into segments of up to 512 tokens. Since the application prioritizes low latency and cost over response quality, the engineer is evaluating available models based on context length, size, and embedding dimensions. Which context length option best aligns with these performance and cost priorities?