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OpenAI API Pricing

Prices checked 2026-10-04By Ieltxu Rayo PereirasData policy

OpenAI lists text model prices on its official pricing page. This page shows a selection of current and recent models, with cached input prices where the page states them.

API price per 1M tokens (USD)
ModelInputCached inputOutput
GPT-6 Astra$10.00$1.00$50.00
GPT-6.1 Sol$2.00$0.100$10.00
GPT-6 Sol$2.00$0.200$10.00
GPT-6 Luna$0.100$0.010$0.500
GPT-5.6 Sol$4.00$0.400$20.00
GPT-5.6 Terra$2.00$0.200$12.00
GPT-5.6 Luna$0.200$0.020$1.20
GPT-5.5$5.00$0.500$30.00
GPT-5.5 Pro$30.00—$180
GPT-5.4$2.50$0.250$15.00
GPT-5.4 mini$0.750$0.075$4.50
GPT-5.4 nano$0.200$0.020$1.25
GPT-5.2$1.75$0.175$14.00
GPT-5.1$1.25$0.125$10.00
GPT-5 mini$0.250$0.025$2.00
GPT-5 nano$0.050$0.0050$0.400
GPT-4.1$2.00$0.500$8.00
GPT-4.1 mini$0.400$0.100$1.60
GPT-4.1 nano$0.100$0.025$0.400
GPT-4o$2.50$1.25$10.00
GPT-4o mini$0.150$0.075$0.600
o3$2.00$0.500$8.00
o4-mini$1.10$0.275$4.40

Notes

  • Cached input is billed at a lower price when a prompt prefix is reused. A dash means the page did not state a cached price.
  • We omit very old models, models above $100 per million output tokens, and any model without a stated price.
  • The page we read did not show a revision date, so we date the data by the day we checked it.

Example monthly costs

Estimated monthly cost for three example workloads (OpenAI, prices of 2026-10-04)
ModelChatbotDocument Q&A (RAG)Bulk summarization
GPT-6 Astra$2,500$3,450$9,000
GPT-6.1 Sol$500$670$1,800
GPT-6 Sol$500$690$1,800
GPT-6 Luna$25.00$34.50$90.00
GPT-5.6 Sol$1,000$1,380$3,600
GPT-5.6 Terra$560$740$1,920
GPT-5.6 Luna$56.00$74.00$192
GPT-5.5$1,400$1,850$4,800
GPT-5.5 Pro$8,400$16,500$28,800
GPT-5.4$700$925$2,400
GPT-5.4 mini$210$278$720
GPT-5.4 nano$57.50$75.25$195
GPT-5.2$595$735$1,890
GPT-5.1$425$525$1,350
GPT-5 mini$85.00$105$270
GPT-5 nano$17.00$21.00$54.00
GPT-4.1$440$700$1,680
GPT-4.1 mini$88.00$140$336
GPT-4.1 nano$22.00$35.00$84.00
GPT-4o$550$1,000$2,100
GPT-4o mini$33.00$60.00$126
o3$440$700$1,680
o4-mini$242$385$924
  • Chatbot: 100,000 requests, 1,000 input and 300 output tokens each.
  • Document Q&A (RAG): 50,000 requests, 8,000 input (half from cache) and 500 output tokens.
  • Bulk summarization: 200,000 documents, 3,000 input and 300 output tokens, Batch where documented.

Batch discounts are not applied to OpenAI here because we could not confirm them on the page we read. Compare with Claude and Gemini.