o1-pro (batch) API Pricing

OpenAI · context window 200K · prices updated 2026-08-23

Input per 1M tokens

$75.00

Output per 1M tokens

$300

Cached input per 1M

—

No discounted cached tier on this model

Where o1-pro (batch) sits on price

At $300 per million output tokens, o1-pro (batch) is a frontier tier model — 133.3× the median output price of $2.25, which puts it in the most expensive 10% of everything we track. It sits 92th cheapest of the 93 OpenAI models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1

3,333

One full context fill

$15.00

Cheaper than

1% of tracked models

What real workloads cost on o1-pro (batch)

These three workloads are the ones teams actually run on a frontier-priced model — a $300/1M 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.	$0.0825	$2475
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price.	$8.10	$72900
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win.	$0.795	$11925

Model your exact traffic in the API cost calculator — it preloads o1-pro (batch) with caching and batch options.

o1-pro (batch) price history

o1-pro (batch)'s price has not moved since we began tracking it on Aug 6, 2026 — 17 days of stability in a market where 55 of the 302 models we track have repriced over the same period, including 9 of OpenAI's own 93 models.

Change-points from our daily price snapshots (tracking since Aug 6, 2026; intraday moves between snapshots are not captured).

o1-pro (batch) vs Claude Opus 4.7 (Fast)

The closest-priced alternative from another vendor is Claude Opus 4.7 (Fast) (Anthropic) — 50% cheaper on output, with $45.00 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 4.7 (Fast) pricing →

Cheaper alternatives

GPT-5.5 Pro OpenAI $30.00 in · $180 out 40% less per output token Claude Opus 4.7 (Fast) Anthropic $30.00 in · $150 out 50% less per output token Kimi K3 Moonshot (Kimi) $3.00 in · $15.00 out 95% less per output token

More OpenAI models

o1-pro GPT-5.5 Pro GPT-5.4 Pro GPT-4

Frequently asked questions

› How much does the o1-pro (batch) API cost?

o1-pro (batch) costs $75.00 per million input tokens and $300 per million output tokens and no discounted cached-input tier. That works out to roughly 3,333 output tokens per dollar.

› What does the small app workload cost on o1-pro (batch)?

Small app — 1K requests/day (500 in / 150 out) costs about $0.0825 per request and $2475 per month on o1-pro (batch). The baseline most side projects actually run at.

› What does it cost to fill o1-pro (batch)'s 200K context window?

Sending 200K of input in a single request costs $15.00 at $75.00 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 o1-pro (batch) worth the price?

o1-pro (batch) is priced in the top bracket, at $300 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, GPT-5.5 Pro at $180 does the same job for a fraction of the bill.