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CostPerPrompt

GPT Audio API Pricing

OpenAI · context window 128K · prices updated 2026-09-15

Input per 1M tokens
$2.50
Output per 1M tokens
$10.00
Cached input per 1M
No discounted cached tier on this model

Where GPT Audio sits on price

At $10.00 per million output tokens, GPT Audio is a premium tier model — 4.8× the median output price of $2.08, which puts it cheaper than 22% and pricier than 78% of the models we track. It sits 53th 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
100,000
One full context fill
$0.32
Cheaper than
22% of tracked models

What real workloads cost on GPT Audio

These three workloads are the ones teams actually run on a premium-priced model — a $10.00/1M 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. $0.0265 $398
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. $0.27 $2430
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0027 $82.50

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

GPT Audio price history

GPT Audio'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).

GPT Audio vs Nano Banana Pro (Gemini 3 Pro Image)

The closest-priced alternative from another vendor is Nano Banana Pro (Gemini 3 Pro Image) (Google) — 20% more expensive 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 Nano Banana Pro (Gemini 3 Pro Image) pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the GPT Audio API cost?

GPT Audio costs $2.50 per million input tokens and $10.00 per million output tokens and no discounted cached-input tier. That works out to roughly 100,000 output tokens per dollar.

What does the support chatbot workload cost on GPT Audio?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0265 per request and $398 per month on GPT Audio. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill GPT Audio's 128K context window?

Sending 128K of input in a single request costs $0.32 at $2.50 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 GPT Audio worth the price?

GPT Audio sits in the middle of the market (53 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.