Model pricing
gpt-5-nano pricing
gpt-5-nano by openai costs $0.05 per 1M input tokens and $0.4 per 1M output tokens (cached input $0.025, batch input not recorded) as of 2026-10-31. A 1,000-input/500-output request costs $0.00025. 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
Openai model
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $0.05 |
| Output / 1M tokens | $0.4 |
| Cached input / 1M | $0.025 |
| 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-nano cost per million tokens?
Input costs $0.05 and output costs $0.4 per million tokens. The 1,000-input/500-output example costs $0.00025, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does gpt-5-nano have cached or batch pricing?
Cached input: $0.025 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-nano?
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.