TTokenCost

GPT-5 mini token cost & pricing

GPT-5 mini is the tier most production chat products should default to. It keeps the 400K context window and the reasoning framework of the flagship at $0.25 per million input tokens and $2 per million output — a fifth of GPT-5 on input and a fifth on output, which makes the blended per-request cost roughly 80% lower.

Input
$0.25
per 1M tokens
Output
$2
per 1M tokens
Context window
400K
tokens

GPT-5 mini specifications

VendorOpenAI
Input price$0.25 / 1M tokens
Output price$2 / 1M tokens
Cached input price$0.025 / 1M tokens (90% cheaper)
Context window400,000 tokens
Max output128,000 tokens
Open weightsNo
Price rank5 of 17 (cheapest first)
Best forbudget, high-volume

What GPT-5 mini costs in practice

Four common workloads, priced at list rates. Monthly figures assume 30 days.

WorkloadPer requestRequests/dayPer month
Chatbot · 1K in / 500 out$0.001310,000$375.00
RAG Q&A · 8K in / 400 out$0.00285,000$420.00
Doc summary · 30K in / 1K out$0.00951,000$285.00
Code agent · 60K in / 3K out$0.02500$315.00

How many requests does $100 buy?

Assuming a 1,000-token prompt and a 500-token response per request.

80,000 requests
at $0.0013 each · $1.25 per 1,000 requests

How GPT-5 mini pricing actually works

The pricing structure mirrors GPT-5 exactly, just scaled down: 8x from input to output, cached input at $0.025 per million. Because scale-down is uniform, the routing decision between GPT-5 and GPT-5 mini is purely about quality on your specific task, not about where the money goes. Test on your real data, not on benchmarks.

When to use GPT-5 mini

Use it for customer support chat, summarization, structured extraction, moderation assistance and most RAG question answering. It is the right starting point and often the right ending point — many teams only discover they need the flagship after a measurable quality gap on a specific task class.

How to cut your GPT-5 mini bill

The mini tier already removes most of the savings pressure, so the remaining wins are architectural: cache the static part of your prompt, keep conversation history truncated to what the model actually needs, and batch offline jobs rather than calling per-item.

Other OpenAI models

GPT-5
reasoning · coding · long-context
$1.25 / $10
GPT-5 nano
cheapest · classification
$0.05 / $0.4
GPT-4o
multimodal · general
$2.5 / $10
GPT-4o mini
budget · multimodal
$0.15 / $0.6

Cheaper alternatives to GPT-5 mini

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