Model pricing
GPT-5.5 pricing
GPT-5.5 by OpenAI costs $5 per 1M input tokens and $30 per 1M output tokens (cached input $2.5, batch input $2.5) as of 2026-10-31. A 1,000-input/500-output request costs $0.02. The lowest-cost alternative with at least this context window and the same recorded reasoning category is Llama 4 Scout at $0.1/$0.25; capability equivalence is not guaranteed.
Notes
Released Apr 23, 2026 — most intuitive flagship; doubled per-token pricing vs GPT-5.4
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $5 |
| Output / 1M tokens | $30 |
| Cached input / 1M | $2.5 |
| Batch input / output / 1M | $2.5 / $15 |
| Context window | 1,050,000 |
| 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-5.5 cost per million tokens?
Input costs $5 and output costs $30 per million tokens. The 1,000-input/500-output example costs $0.02, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does GPT-5.5 have cached or batch pricing?
Cached input: $2.5 per million tokens under the existing provider cache rules. Batch: $2.5 input and $15 output per million tokens. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to GPT-5.5?
Llama 4 Scout costs $0.1 input and $0.25 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.