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CostPerPrompt

GPT-5 Image Mini API Pricing

OpenAI · context window 400K · prices updated 2026-09-15

Input per 1M tokens
$2.50
Output per 1M tokens
$2.00
Cached input per 1M
$0.25
90% cheaper than fresh input

Where GPT-5 Image Mini sits on price

At $2.00 per million output tokens, GPT-5 Image Mini is a mid tier model — right at the median output price of $2.08, which puts it cheaper than 53% and pricier than 47% of the models we track. It sits 24th cheapest of the 92 OpenAI models we track. Output is only 0.8× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
500,000
One full context fill
$1.00
Cheaper than
53% of tracked models

Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% 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 GPT-5 Image Mini

These three workloads are the ones teams actually run on a mid-priced model — a $2.00/1M 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. $0.0153 $230
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0085 $2550
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.633 $3798

Model your exact traffic in the API cost calculator — it preloads GPT-5 Image Mini with caching and batch options.

GPT-5 Image Mini price history

GPT-5 Image Mini'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-5 Image Mini vs Nano Banana (Gemini 2.5 Flash Image)

The closest-priced alternative from another vendor is Nano Banana (Gemini 2.5 Flash Image) (Google) — 25% more expensive on output, with $2.20 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 (Gemini 2.5 Flash Image) pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the GPT-5 Image Mini API cost?

GPT-5 Image Mini costs $2.50 per million input tokens and $2.00 per million output tokens, with cached input at $0.25 per million (90% cheaper). That works out to roughly 500,000 output tokens per dollar.

What does the support chatbot workload cost on GPT-5 Image Mini?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0153 per request and $230 per month on GPT-5 Image Mini. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill GPT-5 Image Mini's 400K context window?

Sending 400K of input in a single request costs $1.00 at $2.50 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 GPT-5 Image Mini worth the price?

GPT-5 Image Mini sits in the middle of the market (24 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.