OpenAI (pricing)

Type: Company — inference-economics lens (pricing behaviour only)

This is the pricing-lensed stub for OpenAI in the inference-economics topic. The canonical OpenAI profile lives at ai/wiki/entities/openai.md; this page tracks only how OpenAI sets and moves token prices — the observable that feeds the topic's concepts.

OpenAI is the clearest published example of price-rung persistence: it prices by capability tier, and a new model generation steps onto the existing rung rather than lowering it. The GPT-5.6 release (2026-07-16) is the anchor observation — Sol (frontier) and Terra (strong) shipped at the exact prior-generation per-token price ($5/$30 and $2.50/$15), while Luna introduced a new, higher mid rung ($1/$6) rather than cutting the old one.

Key Contributions (to this topic)

• Held the frontier rung across a generation: GPT-5.6 Sol = $5/$30 = GPT-5.5's exact rung. Evidence: strong (own dataset, primary vs OpenAI's pricing page 2026-07-16) (TPI)
• Held the strong rung across a generation: GPT-5.6 Terra = $2.50/$15 = GPT-5.4's exact rung. Evidence: strong (own dataset, primary) (TPI)
• Grew a new mid rung rather than cutting the old one: Luna $1/$6, above the prior GPT-5.4-mini rung ($0.75/$4.50). Evidence: strong (own dataset, primary) (TPI)
• OpenAI's rung-holding is, in Matsuoka's model, one of the two conditions the announced buildout's solvency depends on ("sticky premium pricing", alongside ~2x annual token-demand growth for four years). Watching OpenAI's rungs is therefore watching a modelled solvency variable. Evidence: weak-moderate for the corridor model (single-author preprint, modelled); strong for the rung observations themselves (Matsuoka)

Blind spot, stated (2026-07-22): this page tracks published list prices only. Enterprise discounting, committed-use agreements and batch/cached tiers are invisible to it, so "OpenAI held its rung" is a claim about list price, never about realised revenue per token.

Mentioned In

• Price-Rung Persistence — OpenAI's GPT-5.6 rung-hold is the anchor evidence.
• The Price-Decline Distribution — OpenAI's held rungs are one mechanism behind the fast decline in the price of fixed capability.
• The Depreciation Conveyor & Vintage Economics — premium stickiness as a solvency condition.

Related Entities

• Anthropic (economics) — the other frontier-lab economics stub in this topic (margin claim, attributed).
• vllm-cost-meter — the cost-side counterpart instrument; this page is the price side.

Changelog

• 2026-07-22 — Linked rung-holding to Matsuoka's "sticky premium pricing" solvency condition (2607.07207); stated the list-price-only blind spot explicitly.
• 2026-07-16 — Stub created (pricing lens). Anchored on the GPT-5.6 rung-hold observation from the Token Price Index. Canonical OpenAI profile stays at ai/wiki/entities/openai.md.