o1 (batch) API Pricing
OpenAI · context window 200K · prices updated 2026-08-23
Where o1 (batch) sits on price
At $30.00 per million output tokens, o1 (batch) is a frontier tier model — 13.3× the median output price of $2.25, which puts it in the most expensive 10% of everything we track. It sits 77th cheapest of the 93 OpenAI models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.
Cached input is 50% cheaper. On an input-heavy workload you need roughly a 50% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.
What real workloads cost on o1 (batch)
These three workloads are the ones teams actually run on a frontier-priced model — a $30.00/1M 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. | $0.0083 | $248 |
| Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. | $0.81 | $7290 |
| Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. | $0.0795 | $1193 |
Model your exact traffic in the API cost calculator — it preloads o1 (batch) with caching and batch options.
o1 (batch) price history
o1 (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 (batch) vs Claude Opus 5
The closest-priced alternative from another vendor is Claude Opus 5 (Anthropic) — 17% cheaper on output, with $2.50 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 5 pricing →Cheaper alternatives
More OpenAI models
Frequently asked questions
› How much does the o1 (batch) API cost?
o1 (batch) costs $7.50 per million input tokens and $30.00 per million output tokens, with cached input at $3.75 per million (50% cheaper). That works out to roughly 33,333 output tokens per dollar.
› What does the small app workload cost on o1 (batch)?
Small app — 1K requests/day (500 in / 150 out) costs about $0.0083 per request and $248 per month on o1 (batch). The baseline most side projects actually run at.
› What does it cost to fill o1 (batch)'s 200K context window?
Sending 200K of input in a single request costs $1.50 at $7.50 per million tokens — before any output. With prompt caching that same fill drops to about $0.75 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is o1 (batch) worth the price?
o1 (batch) is priced in the top bracket, at $30.00 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 5 at $25.00 does the same job for a fraction of the bill.