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OpenAI cuts Luna input price to $0.20 per million tokens and Terra to $2, an 80% and 20% drop respectively, aiming to boost enterprise use amid rising AI cost
OpenAI reduced the API rates for its two lower‑tier GPT‑5.6 models on July 30, cutting Luna’s input price to $0.20 per million tokens (down 80%) and Terra’s to $2 (down 20%) as enterprises push back on soaring AI bills【1】.
| At a glance | |
|---|---|
| Model | Luna (fast, affordable) |
| New input price | $0.20 per M tokens (‑80%) |
| Model | Terra (balanced) |
| New input price | $2 per M tokens (‑20%) |
| Flagship model | Sol (unchanged) |
| Sol price | $5 input / $30 output per M tokens |
The cuts apply to both input and output rates: Luna’s output price fell to $1.20 per M tokens from $6, while Terra’s output dropped to $12 from $15【1】. The flagship Sol model remains at $5 input and $30 output, matching its predecessor GPT‑5.5’s rates【3】. By lowering costs on the two cheaper tiers, OpenAI extends the token allowance for ChatGPT Work and Codex subscriptions, letting users accomplish more tasks before hitting limits【2】. The move arrives three weeks after GPT‑5.6’s public launch on July 9, 2026, and follows a period of “tokenmaxxing” where corporate AI spend surged without cost controls【1】.
Chinese rivals such as Moonshot AI’s Kimi K3 and Z.ai’s GLM‑5.2 have been undercutting OpenAI and Anthropic on price, intensifying pressure on the U.S. labs【1】. Even Anthropic’s mid‑tier Claude Sonnet 4.6 still costs more per token than the newly discounted Terra model【1】. Analysts note that cheaper pricing could broaden OpenAI’s enterprise footprint but may also compress margins at a time when the company is courting investors for an IPO【1】. While higher usage can bolster the growth narrative for prospective shareholders, reduced per‑token revenue could complicate profitability projections in IPO due diligence【1】.
The tiered pricing strategy signals a shift from “best‑model‑wins” to “best‑fit‑wins,” where cost, speed, and workflow suitability drive customer choice rather than raw capability alone【3】. By making Luna and Terra more affordable, OpenAI aims to lock in cost‑sensitive customers before they migrate to cheaper Chinese alternatives, preserving market share that underpins its upcoming IPO valuation【1】. However, the long‑term effect hinges on whether usage growth offsets the lower per‑token revenue, a question that will surface in the next earnings update【1】.
The price cuts underscore OpenAI’s dual challenge: expanding enterprise usage while navigating thin margins ahead of a public listing. Whether the discounts drive sustainable growth or merely defer margin pressure remains to be seen.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 4 outlets · Aug 1, 2026 · How we report
OpenAI reduced Luna's price to $0.20 per million input tokens and $1.20 per million output tokens, cut Terra's price by 20% to $2 per million input tokens and $12 per million output tokens, and increased Sol's speed by 2.5× without altering its price.
The company cited enterprise sentiment about AI budgets and the need to make advanced intelligence more affordable amid reports of organizations exceeding AI spend limits.
The fund lost approximately 67% in July 2026, leading to a forced sale of most of its roughly $16 billion public stock portfolio to Citadel, though it remains open.