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CostPerPrompt

o3 API Pricing

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

Input per 1M tokens
$2.00
Output per 1M tokens
$8.00
Cached input per 1M
$0.5
75% cheaper than fresh input

Where o3 sits on price

At $8.00 per million output tokens, o3 is a premium tier model — 3.8× the median output price of $2.08, which puts it cheaper than 23% and pricier than 77% of the models we track. It sits 50th 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
125,000
One full context fill
$0.4
Cheaper than
23% of tracked models

Cached input is 75% cheaper. On an input-heavy workload you need roughly a 33% 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 o3

These three workloads are the ones teams actually run on a premium-priced model — a $8.00/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0212 $318
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. $0.216 $1944
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0022 $66.00

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

o3 price history

o3'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 vs Claude Sonnet 4.6 (batch)

The closest-priced alternative from another vendor is Claude Sonnet 4.6 (batch) (Anthropic) — 6% cheaper on output, with $0.5 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 Sonnet 4.6 (batch) pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the o3 API cost?

o3 costs $2.00 per million input tokens and $8.00 per million output tokens, with cached input at $0.5 per million (75% cheaper). That works out to roughly 125,000 output tokens per dollar.

What does the support chatbot workload cost on o3?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0212 per request and $318 per month on o3. Conversation history re-sent each turn — the classic prompt-caching win.

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

Sending 200K of input in a single request costs $0.4 at $2.00 per million tokens — before any output. With prompt caching that same fill drops to about $0.1 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is o3 worth the price?

o3 sits in the middle of the market (50 of 92 by price within OpenAI). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.