Every GPT model we track, at official per-token rates — verified by hand against OpenAI's pricing page. Five models across all three tiers.
| Model | $ input /1M | $ output /1M | $ cached /1M | Batch | ≈ $/mo * |
|---|---|---|---|---|---|
| GPT-5.5 ProFRONTIER | $30 | $180 | — | — | $11,400 |
| GPT-5.5FRONTIER | $5 | $30 | $0.50 | — | $1,270 |
| GPT-5.4FRONTIER | $2.50 | $15 | $0.25 | — | $635 |
| GPT-5.4 miniMID | $0.75 | $4.50 | $0.075 | — | $190.5 |
| GPT-5.4 nanoBUDGET | $0.20 | $1.25 | $0.02 | — | $52.3 |
* Example workload — chatbot, 100k requests/mo, 2,000 input / 300 output tokens per request, 70% of input cached. Computed by the same engine as the calculator. Batch: no verified batch discount published for GPT at our last revision — we only list discounts we've confirmed.
Cached input is billed at 10% of the input rate on every GPT model with a published cache price; GPT-5.5 Pro doesn't list one, so the calculator charges it the full input rate. A major lever for chatbots and agents where most of the prompt repeats — the calculator models this with your cache share.
No verified batch discount published at our last revision — we only list discounts we've confirmed, so the Batch toggle in the calculator leaves GPT prices unchanged.
GPT-5.5 and GPT-5.4 run a verified 1M-token context window; GPT-5.4 mini is 400k tokens. We haven't verified figures for GPT-5.5 Pro and GPT-5.4 nano yet — they show as “—” until we do. GPT-5.5, GPT-5.5 Pro and GPT-5.4 bill higher rates on long-context prompts — this table and the calculator use standard rates.
Every change is verified by hand and published to the changelog — you get one email per confirmed change.
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