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LLM API prices vary 114x; match model to workload, not habit

The cost of using Large Language Model (LLM) APIs can vary dramatically, with a 114x price difference observed between the cheapest and most expensive models as of July 2026. This significant spread highlights the importance of matching specific workloads to appropriate models, as output tokens are considerably more expensive than input tokens. Factors like caching discounts can also drastically alter the effective cost, making it crucial to benchmark with actual usage patterns rather than relying solely on list prices. To aid in this selection process, an open dataset and a free tool called AI Model Picker have been developed to help users navigate the pricing landscape. AI

IMPACT Helps developers optimize costs by matching LLM APIs to specific tasks and budgets, potentially reducing expenses by over 100x.

RANK_REASON The item describes a tool (AI Model Picker) and a dataset for comparing LLM API prices, rather than a new model release or core research.

Read on dev.to — LLM tag →

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LLM API prices vary 114x; match model to workload, not habit

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  1. dev.to — LLM tag TIER_1 English(EN) · hey atlas ·

    The LLM API price spread is 114x. Here is how to actually pick.

    <p>I maintain an open dataset of LLM API list prices, and every time I refresh it the same thing jumps out: the gap between the cheapest and most expensive model is enormous. As of July 2026, across 17 models from 5 providers, the spread on a blended (3:1 input:output) cost is <s…