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CostPerPrompt

o3 Pro API Pricing

OpenAI · context window 200K · prices updated 2026-09-15

Input per 1M tokens
$20.00
Output per 1M tokens
$80.00
Cached input per 1M
No discounted cached tier on this model

Where o3 Pro sits on price

At $80.00 per million output tokens, o3 Pro is a frontier tier model — 38.5× the median output price of $2.08, which puts it in the most expensive 10% of everything we track. It sits 84th cheapest of the 92 OpenAI models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
12,500
One full context fill
$4.00
Cheaper than
3% of tracked models

What real workloads cost on o3 Pro

These three workloads are the ones teams actually run on a frontier-priced model — a $80.00/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.022 $660
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. $2.16 $19440
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.212 $3180

Model your exact traffic in the API cost calculator — it preloads o3 Pro with caching and batch options.

o3 Pro price history

o3 Pro's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 9 of OpenAI's own 92 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

o3 Pro vs Claude Opus 4.1

The closest-priced alternative from another vendor is Claude Opus 4.1 (Anthropic) — 6% cheaper on output, with $5.00 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Claude Opus 4.1 pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the o3 Pro API cost?

o3 Pro costs $20.00 per million input tokens and $80.00 per million output tokens and no discounted cached-input tier. That works out to roughly 12,500 output tokens per dollar.

What does the small app workload cost on o3 Pro?

Small app — 1K requests/day (500 in / 150 out) costs about $0.022 per request and $660 per month on o3 Pro. The baseline most side projects actually run at.

What does it cost to fill o3 Pro's 200K context window?

Sending 200K of input in a single request costs $4.00 at $20.00 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

Is o3 Pro worth the price?

o3 Pro is priced in the top bracket, at $80.00 per million output tokens. It only pays off where an error is expensive — production code, legal and medical drafting, agents that take real actions. For anything routine, Claude Opus 4.1 at $75.00 does the same job for a fraction of the bill.