Invoice
Meta opened its first paid model API on July 9 and priced Muse Spark 1.1 at $1.25 per million input tokens and $4.25 per million output tokens. Those rates are below the flagship offerings from OpenAI and Anthropic, though the size of the discount varies by model and by token type. For an enterprise buyer, the rate card is only one term in the bill.
Agentic systems turn a single user request into repeated rounds of planning, retrieval, tool calls, validation and retries. The price per token can therefore fall while the cost per completed task, or the organization's total AI spending, rises. That outcome is not yet established as a universal enterprise trend, and public data on production agent costs remains thin. The budgeting lesson holds even so, which is that finance teams should model successful workflow outcomes rather than multiply expected calls by the advertised price per million tokens.
A Price War Accelerates
Three near-frontier launches landed inside eight days. SpaceXAI shipped Grok 4.5 on July 8. OpenAI made the GPT-5.6 family generally available on July 9, and Meta opened the Meta Model API the same day. DeepSeek belongs to the same story from a distance, having made a 75% cut to V4-Pro pricing permanent in late May.
