# OpenAI Cuts GPT-5.6 Luna Model Prices by 80%

> Just three weeks after launching GPT-5.6, OpenAI has slashed the price of its mid-tier Luna model by 80 percent, dropping it to /bin/bash.20 per million input tokens and .20 per million output tokens. The higher-end Terra tier fell 20 percent to and 2. Announced on July 30, the cut lands squarely in the middle of a widening price war for AI inference. The pressure is coming from China. DeepSeek's V4 Pro is priced at roughly /bin/bash.435 and /bin/bash.87 per million tokens, and Chinese open models now account for an estimated 46 percent of enterprise token usage. When a rival's weights are free to download and its API costs a fraction of yours, holding premium pricing on a comparable model becomes very hard to justify. The interesting shift here is that the frontier is no longer just a capability race, it is a margin race. Cheaper tokens are good news for anyone building on top of these models, but they raise real questions about how the labs paying enormous training bills eventually earn it back.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Yahoo Finance · Published Saturday, August 1, 2026_

## Wortins' read

Just three weeks after launching GPT-5.6, OpenAI has slashed the price of its mid-tier Luna model by 80 percent, dropping it to /bin/bash.20 per million input tokens and .20 per million output tokens. The higher-end Terra tier fell 20 percent to and 2. Announced on July 30, the cut lands squarely in the middle of a widening price war for AI inference. The pressure is coming from China. DeepSeek's V4 Pro is priced at roughly /bin/bash.435 and /bin/bash.87 per million tokens, and Chinese open models now account for an estimated 46 percent of enterprise token usage. When a rival's weights are free to download and its API costs a fraction of yours, holding premium pricing on a comparable model becomes very hard to justify. The interesting shift here is that the frontier is no longer just a capability race, it is a margin race. Cheaper tokens are good news for anyone building on top of these models, but they raise real questions about how the labs paying enormous training bills eventually earn it back.

## Source

[Read the full story at Yahoo Finance](https://finance.yahoo.com/technology/ai/articles/openai-just-cut-gpt-5-013753910.html)

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