Summary：**OpenAI Unveils GPT-5.6 Pricing: $5 Input, $30 Output per Million Tokens***Introduction* OpenAI an

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**OpenAI Unveils GPT-5.6 Pricing: $5 Input, $30 Output per Million Tokens**

*Introduction*
OpenAI announced a new pricing scheme for its forthcoming GPT‑5.6 model family, setting the cost at $5 per million input tokens and $30 per million output tokens. The reveal, made during a virtual briefing on Tuesday, introduces a three‑tier offering—Lite, Standard, and Enterprise—aimed at matching varied workloads while keeping expenses predictable for developers and enterprises alike.

*Key Developments*
The tiered structure distinguishes itself by charging a relatively low fee for feeding data into the model and a higher rate for the generated text. OpenAI argues that this reflects the computational asymmetry: inference (output) demands more GPU cycles than tokenization (input). The Lite tier targets startups and hobbyists with a capped monthly quota, the Standard tier serves mid‑size businesses needing steady access, and the Enterprise tier provides custom SLAs, priority support, and volume discounts. Early adopters reported that the pricing enables them to prototype conversational agents and content‑generation tools without the prohibitive upfront costs associated with previous generations.

*Industry Analysis*
Analysts say the move could accelerate AI adoption across sectors that have been hesitant due to unpredictable operating expenses. By decoupling input and output costs, firms can better forecast spend on data‑heavy tasks such as document summarization or code completion, where input volume often dwarfs output. Competitors like Anthropic and Cohere may feel pressure to revisit their own token‑based models, potentially sparking a price‑war that benefits end‑users. Moreover, the transparent pricing aligns with growing demand for AI budgeting