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GPT-5 Mini pricing and routing profile

GPT-5 Mini from OpenAI lists at $0.25 per million input tokens and $2.00 per million output tokens, with a 400,000-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.25
Output, per 1M tokens$2.00
Cached input, per 1M$0.025
Context window400K
Confidence signalNot exposed

Tool callingStructured outputReasoning control

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.17
Chat reply (2,000 in, 400 out)$1.30
Retrieval-augmented answer (8,000 in, 500 out)$3.00

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Not as a first-answer model through OpenRouter: no host returns token log probabilities for GPT-5 Mini. It can still be the model Gimbix falls back to when a cheaper model is unsure.

Cheaper models that can answer first

Models priced below GPT-5 Mini that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
Qwen3 VL 235B A22B Instruct$0.21 / $1.909%
Qwen3.5-27B$0.195 / $1.5622%
Step 3.7 Flash$0.20 / $1.1534%
Qwen3.5-35B-A3B$0.163 / $1.3035%
Qwen3.6 Flash$0.188 / $1.1337%
Qwen3 Coder Flash$0.195 / $0.97540%

Questions

How much does GPT-5 Mini cost?

GPT-5 Mini lists at $0.25 per million input tokens and $2.00 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $1.30 per 1,000 requests.

What is the context window of GPT-5 Mini?

400,000 tokens.

Can a cheaper model replace GPT-5 Mini?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match GPT-5 Mini on one half of your requests and make at most three answers worse on the other.