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The Unbearable Cheapness of Open Weight Models
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Overview
Hermes can perform web research using DeepSeek V4, which offers significantly lower pricing compared to Anthropic and OpenAI's frontier models. The cost difference is nearly 50 times based on token usage, raising concerns about the sustainability of high costs for Anthropic and OpenAI.
Summary from jamesoclaire.com.
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jamesoclaire.com
The Unbearable Cheapness of Open Weight Models
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Hacker News · jamesoclaire.com
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Based on 5 sampled comments from this thread. Analyzed 2026-06-25.
- Praise: Open weight models are expected to handle 95% of AI tasks, which could significantly reduce costs and democratize access to AI capabilities across various sectors.
- Praise: The affordability of using models like Reasonix allows for substantial productivity gains, enabling users to accomplish extensive work at minimal costs.
- Praise: As inference costs decrease, popular models like GPT and Claude may also become cheaper, fostering greater competition and accessibility in the AI market.
- Concern: The commoditization of AI information processing raises concerns about how AI giants will maintain profitability amidst the rise of open weight models.
- Concern: There is skepticism about the ability of AI companies to create scarcity and justify their pricing in a market increasingly dominated by cheaper alternatives.
- Concern: Current AI models may not feel cost-competitive yet, suggesting that without significant advancements, the giants could struggle to sustain their market positions.