OpenAI cuts GPT-5.6 pricing and adds Fast mode to the API - Appwrite

Skip to content<br>Start project

Appwrite helped reduce development time by 60%, and lower server costs<br>by 40%.

Compare Appwrite_ Appwrite vs. Supabase Appwrite vs. Firebase Appwrite vs. Vercel

Docs<br>Pricing<br>Enterprise<br>Customers<br>Blog<br>Changelog

56.8K<br>Go to Console Start project

Blog / OpenAI cuts GPT-5.6 pricing and adds Fast mode to the API

OpenAI cut GPT-5.6 pricing on July 30, 2026, making Luna 80% cheaper and Terra 20% cheaper, and replaced Priority Processing in the API with a new Fast mode for Sol. The short version: high-volume work on Luna and Terra now costs far less per token, and latency-sensitive Sol requests can run up to 2.5 times faster. OpenAI laid out the changes in its price-performance announcement.<br>This post covers exactly what changed in GPT-5.6 pricing, the new per-token rates, how Fast mode works, and what the lower prices mean if you build agents. If you want a refresher on the model family first, see our GPT-5.6 launch breakdown.<br>What changed in GPT-5.6 pricing on July 30?<br>OpenAI lowered the API price of its two cheaper tiers and left the flagship untouched:<br>GPT-5.6 Luna , the fastest and most affordable model, costs 80% less .<br>GPT-5.6 Terra , the balanced everyday model, costs 20% less .<br>GPT-5.6 Sol , the flagship, keeps its existing pricing.<br>The lower Luna and Terra prices also flow through to subscriptions. In Codex and ChatGPT Work, Terra and Luna now consume fewer credits against your quota, so the same plan stretches further. Subscription prices and quota budgets did not change.<br>Here is how the new API rates compare to the launch pricing from July 9.<br>ModelOld input / output (per 1M tokens)New input / output (per 1M tokens)ChangeGPT-5.6 Sol<br>$5 / $30<br>$5 / $30<br>No change<br>GPT-5.6 Terra<br>$2.50 / $15<br>$2 / $12<br>20% cheaper<br>GPT-5.6 Luna<br>$1 / $6<br>$0.20 / $1.20<br>80% cheaper

Pricing takes effect July 30, 2026, with changes rolling out on AWS shortly after. Full details are on OpenAI's API pricing page.<br>GPT-5.6 Luna is now 80% cheaper<br>Luna is where the cut is most dramatic. At $0.20 per million input tokens and $1.20 per million output tokens, it is one of the cheapest capable models on the market.<br>The point of the price drop is scale. Luna can use tools and complete multi-step workflows, so a whole class of AI features that were too expensive to run at volume become practical. OpenAI frames Luna as delivering performance comparable to models that were frontier-class a year ago, at roughly 6 cents on the dollar per task and nearly nine times the speed .<br>On Agents' Last Exam, a benchmark for professional agentic work, OpenAI reports that Luna outperforms Fable 5 at an estimated cost per task nearly 99% lower . According to Artificial Analysis, Luna also sits well ahead of similarly priced models on its Intelligence Index. Treat vendor-reported numbers as directional, but the trend is clear: Luna moves the price-performance frontier down and to the right.<br>GPT-5.6 Terra pricing drops 20%<br>Terra is the balanced tier for everyday work, and its new rate is $2 per million input tokens and $12 per million output tokens. The 20% cut is smaller than Luna's, but Terra sits at a higher quality point, so it is the tier most teams will reach for when Luna is not quite enough and Sol is more than the task needs.<br>Because Terra also consumes fewer credits in Codex and ChatGPT Work, everyday coding and knowledge work on a paid plan now goes further without any change to your subscription.<br>What is Fast mode in the OpenAI API?<br>Fast mode is a new API option that trades money for latency without changing model quality. It replaces Priority Processing and aligns with the /fast command in Codex.<br>For GPT-5.6 Sol , Fast mode delivers:<br>Up to 2.5 times faster responses than Standard processing.<br>Twice the price of Standard processing.<br>No change in intelligence , only speed.<br>Fast mode is backward compatible. Any existing API request tagged priority continues to work and automatically routes to Fast mode, so you do not need to rewrite integrations built against Priority Processing.<br>This mirrors the Fast mode Anthropic shipped with Claude Opus 4.8, which also runs roughly 2.5 times faster at twice the base rate. The pattern is becoming standard: pay a premium only on the requests where response time is the constraint, and run everything else at Standard speed.<br>When should you use Fast mode? Reach for it on interactive, latency-sensitive Sol workloads where a user is waiting on the response, such as live coding assistance or real-time agent steps. Leave batch jobs, background processing, and non-urgent work on Standard to avoid paying the 2x premium for speed you do not need.<br>How OpenAI made GPT-5.6 cheaper to run<br>The price cuts are downstream of efficiency gains, not a margin decision. OpenAI attributes the improvement to making every layer more efficient: the models themselves, the inference systems that serve them, and the agentic harness that...