The article compares the pricing of Anthropic's Claude Sonnet 5 and Z.AI's GLM-5.2, highlighting that choosing the cheapest LLM API depends on factors like token mix, model tier, and caching. It outlines a five-step method for users to calculate costs, emphasizing normalization to $/1M tokens, bucketing by tier (flagship, budget, embeddings), weighting by actual token ratio, and considering cached input pricing. The author also points to Model Price Watch, a service that tracks real-time pricing across numerous models and providers. AI
IMPACT Provides a framework for developers to optimize LLM API costs, potentially influencing adoption of specific models based on pricing tiers and usage patterns.
RANK_REASON The article provides a comparative analysis and pricing guide for LLM APIs, rather than announcing a new product or research milestone.
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