OpenAI: GPT-5.2 Chat API Pricing
OpenAI: GPT-5.2 Chat costs $1.75 per 1M input tokens and $14.00 per 1M output tokens (cache reads: $0.175). Context window: 128K. Prices verified 2026-10-21 · source
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Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $1.75 | — |
| Cache read | $0.175 | −90% |
| Output | $14.00 | — |
| Web search tool | $10/1k searches | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
What would OpenAI: GPT-5.2 Chat cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $70.00 |
| Coding agent | 5,000 | 8,000 / 2,000 | $210.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $420.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $98.00 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About OpenAI: GPT-5.2 Chat
GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on...
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Frequently asked questions
How much does OpenAI: GPT-5.2 Chat cost?
OpenAI: GPT-5.2 Chat costs $1.75 per 1M input tokens and $14.00 per 1M output tokens; cached input tokens cost $0.175 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
128K tokens, with up to 32K output tokens per response. That's roughly 160 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.175/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.
Official resources
- OpenAI: GPT-5.2 Chat on OpenRouter — live endpoint, pricing source of record.
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