AI Model Price War: OpenAI and Anthropic Cut Prices as DeepSeek Raises Its Own

The AI model business is moving into an open price competition phase. According to reporting published on 14 August 2026, OpenAI has cut pricing for its GPT-5.6 Luna model substantially, while Anthropic is positioning Claude Opus 5 at roughly half the price of its higher-end Fable 5 model. Data cited by the Financial Times indicates that prices customers pay for leading U.S. models have declined materially since mid-July. The move comes as lower-cost Chinese competitors, including DeepSeek and Moonshot AI, gain users among companies looking to control increasingly large inference bills. Notably, the trend is not uniform: DeepSeek has been raising its own prices, a sign that price positioning is becoming a strategic lever distinct from raw technical performance. For several years, model developers competed primarily on benchmarks, context windows, coding performance and reasoning capabilities. Enterprise buyers are increasingly shifting their attention toward total cost of ownership, latency and budget predictability for large-scale deployments. The shift changes the competitive equation across the sector. Faster inference is becoming a competitive weapon in its own right, and companies are discovering that the real cost of AI may depend as much on infrastructure and orchestration as on the model itself. For vendors, lower unit prices imply compensating through higher volumes and continuous optimisation of compute costs. In the short term, pricing pressure could accelerate generative AI adoption among mid-sized firms previously deterred by token costs. It also raises questions about the economic sustainability of frontier labs, whose compute requirements keep expanding.