LLM pricing · OpenAI
In short: o1-pro (OpenAI, model id o1-pro) costs $150 per million input tokens and $600 per million output tokens. A typical chat message costs about $0.465, so a user on a $9.99 plan can send about 18 messages a month before they cost you more than they pay.
| Input | $150 |
| Cached input (cache read) | Not offered; billed as input |
| Output | $600 |
One message = 1,500 input tokens (system prompt and recent history) and 400 output tokens.
| Messages / month | AI cost / month | Margin on $9.99 | |
|---|---|---|---|
| Light user | 30 | $13.95 | $-5.5 |
| Typical user | 300 | $139.50 | $-1.3e+2 |
| Heavy user | 3,000 | $1,395.00 | $-1.4e+3 |
List prices, standard tier, prompts under the long-context threshold. Averages hide your heaviest users: FiscaLLM shows this per real user.
Switching only your heaviest users to a cheaper model often fixes margin without touching everyone else's experience.
Averages hide the users who cost you most. FiscaLLM reads token counts from each OpenAI response, prices them with the rates above (including cache reads and long prompts), and puts each user's AI cost next to what they paid through RevenueCat, Stripe or a CSV. Free and open source, with alerts and optional per-user caps.
meter.trackOpenAI(res, { userId, feature: "chat" });See the demo dashboard or read the OpenAI cost per user guide.
$150 per million input tokens, no separate cached-input price, and $600 per million output tokens (standard tier, list price).
About $0.465 for a 1,500-token prompt and a 400-token reply.
About 18 a month before their AI cost uses up the $8.49 you keep after a 15% store fee. Past that, the user loses you money.
List prices from OpenAI's pricing page, standard tier; batch, priority and regional pricing differ. Check the provider for the latest. How these prices are audited.