Cursor cuts GPT-5.6 Luna and Terra rates in its Other Models pool
Cursor repriced two third-party models in its Other Models token pool: GPT-5.6 Luna fell about 80% and GPT-5.6 Terra about 20% across input, cache, and output rates, while GPT-5.6 Sol held steady.
GPT-5.6 Luna: $1 input / $1.25 cache write / $0.10 cache read / $6 output per 1M tokens. GPT-5.6 Terra: $2.50 / $3.125 / $0.25 / $15 per 1M tokens.
GPT-5.6 Luna: $0.20 input / $0.25 cache write / $0.02 cache read / $1.20 output per 1M tokens. GPT-5.6 Terra: $2 / $2.50 / $0.20 / $12 per 1M tokens.
Cursor’s docs page for Models & Pricing now shows lower per-million-token rates for two of the three GPT-5.6 variants billed through the “Other Models” usage pool. GPT-5.6 Luna — the cheapest of the three — dropped roughly 80% across every dimension (input, cache write, cache read, output), while GPT-5.6 Terra dropped about 20%. GPT-5.6 Sol, the priciest of the three, was unchanged. All other model rates (Grok 4.5, Composer 2.5, the Claude and Gemini lines, Auto Cost) and the Pro / Pro Plus / Ultra / Teams plan prices held steady. The docs also added a new caveat: Cursor’s India-only Start plan now explicitly runs both Cursor Models in non-fast mode, with Grok 4.5 fixed at a medium effort level.
Cursor's docs cut GPT-5.6 Luna's per-token rate roughly 80% (input $1 to $0.2, cache write $1.25 to $0.25, cache read $0.1 to $0.02, output $6 to $1.2 per million tokens) and GPT-5.6 Terra's roughly 20% (input $2.5 to $2, output $15 to $12), passing third-party API price cuts straight through to the dollar-denominated Other Models pool. Plan-level pricing was unchanged.