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CostPerPrompt

o4 Mini API Pricing

OpenAI · context window 200K · prices updated 2026-09-29

Input per 1M tokens
$1.10
Output per 1M tokens
$4.40
Cached input per 1M
$0.275
75% cheaper than fresh input

Where o4 Mini sits on price

At $4.40 per million output tokens, o4 Mini is a mid tier model — 2.0× the median output price of $2.20, which puts it cheaper than 37% and pricier than 63% of the models we track. It sits 41th cheapest of the 100 OpenAI models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
227,273
One full context fill
$0.22
Cheaper than
37% 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 o4 Mini

These three workloads are the ones teams actually run on a mid-priced model — a $4.40/1M 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. $0.0117 $175
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0055 $1650
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0012 $36.30

Model your exact traffic in the API cost calculator — it preloads o4 Mini with caching and batch options.

o4 Mini price history

o4 Mini's price has not moved since we began tracking it on Aug 2, 2026 — 58 days of stability in a market where 88 of the 353 models we track have repriced over the same period, including 12 of OpenAI's own 100 models.

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

o4 Mini vs Qwen3.8 27B

The closest-priced alternative from another vendor is Qwen3.8 27B (Alibaba (Qwen)) — priced within a rounding error on output, with $1.06 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 Qwen3.8 27B pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

› How much does the o4 Mini API cost?

o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens, with cached input at $0.275 per million (75% cheaper). That works out to roughly 227,273 output tokens per dollar.

› What does the support chatbot workload cost on o4 Mini?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0117 per request and $175 per month on o4 Mini. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill o4 Mini's 200K context window?

Sending 200K of input in a single request costs $0.22 at $1.10 per million tokens — before any output. With prompt caching that same fill drops to about $0.055 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is o4 Mini worth the price?

o4 Mini sits in the middle of the market (41 of 100 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.