Story
Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them
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Overview
Anthropic and OpenAI may incur costs exceeding $1000 for every $100 charged to users. Coding with Large Language Models (LLMs) is being promoted as a significant application for these technologies.
Summary from ea.rna.nl.
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Hacker News · ea.rna.nl
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-06-07.
- Praise: Anthropic and OpenAI have developed highly efficient token-serving capabilities, allowing them to deliver services at half the cost of open-source providers, which strengthens their competitive edge.
- Praise: The trend of smaller, more capable models, such as Qwen3-30B outperforming GPT-4, suggests that ongoing advancements in AI will lead to increased profitability for companies leveraging these technologies.
- Concern: Claims regarding Anthropic's profitability are misleading, as they often rely on cash flow metrics that do not reflect true profit, raising concerns about the company's financial transparency.
- Concern: The assumptions made in the analysis of API costs are flawed, particularly the neglect of caching mechanisms, which could significantly alter the cost dynamics of model inference.