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AI & Enterprise

AI price war begins as costs become a key factor for OpenAI and Anthropic

As AI costs rise for large companies and startups alike, price is emerging as a major variable in the AI market alongside performance. Demand for cheaper models is increasing, putting pressure on leading firms such as OpenAI and Anthropic, which are seeking IPOs as early as this year, to cut prices. Companies are shifting workloads to lower-cost or open-source models, while interest grows in tools that let firms switch between external models, in-house systems and open source depending on needs.

AI & Enterprise

Rising costs raise questions over big model-centric AI landscape

As corporate spending on AI rises rapidly, the big model-centric structure of the AI industry is showing signs of change. Developers have kept inference costs relatively low using invested funds, allowing companies to use advanced models below cost. With AI adoption spreading, more companies say costs are becoming a burden. Coinbase CEO Brian Armstrong forecast most work will shift to much cheaper models, a shift that could affect profitability at major AI firms.

AI & Enterprise

Deepclaude keeps Claude Code experience, cuts model costs to one-seventeenth

An open-source tool called Deepclaude has emerged that keeps the autonomous coding-agent experience of Claude Code while sharply reducing model usage costs. Developers can retain the same interface and workflow and switch only the underlying model to alternatives such as DeepSeek V4 Pro or OpenRouter. The tool supports key developer functions, though it does not fully match the original environment. It also enables real-time backend switching during a session and highlights large pricing gaps between providers.