Model pricing
GPT-5 pricing
GPT-5 by OpenAI costs
GPT-5 pricing
.25 per 1M input tokens andGPT-5 pricing
0 per 1M output tokens (cached input $0.625, batch input not recorded) as of 2026-10-31. A 1,000-input/500-output request costs $0.00625. The lowest-cost alternative with at least this context window and the same recorded reasoning category is Gemini 4.5 Nano at $0.04/$0.16; capability equivalence is not guaranteed.Notes
Powerful all-rounder for accuracy, nuance, and multimodal text+image tasks
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $1.25 |
| Output / 1M tokens | $10 |
| Cached input / 1M | $0.625 |
| Batch input / output / 1M | Not recorded |
| Context window | 400,000 |
| Provider | OpenAI |
| Last verified | No model-specific verification date recorded |
| Snapshot updated | 2026-10-31 |
Last updated: · Source: OpenAI pricing · Methodology
Frequently asked questions
What does GPT-5 cost per million tokens?
Input costs $1.25 and output costs $10 per million tokens. The 1,000-input/500-output example costs $0.00625, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does GPT-5 have cached or batch pricing?
Cached input: $0.625 per million tokens under the existing provider cache rules. Batch: not recorded in this dataset. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to GPT-5?
Gemini 4.5 Nano costs $0.04 input and $0.16 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.
How often are these prices verified?
The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-10-31. No model-specific verification date is recorded; the snapshot date must not be interpreted as an official provider verification.