OpenAIGPT-4o miniVisionTool use

GPT-4o-mini Search Preview pricing

GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries. Live index: 2 priced offers. Best input $0.150 per million tokens from Openrouter. Best output $0.600 per million tokens from Openrouter.

128K context·2 providers·verified Apr 7, 2026
Best input$0.150per 1M tokens · Openrouter
Best output$0.600per 1M tokens · Openrouter

Pricing across providers

Every row is a seller of GPT-4o-mini Search Preview with token pricing we track. The cheapest input in this snapshot is from Openrouter. The bar chart shows the same input and output dollars per million for a quick scan.

O
Openrouter
Input / 1M
$0.150
Output / 1M
$0.600
O
OpenAInative
Input / 1M
$0.150
Output / 1M
$0.600
Cached in: $0.075

Input vs output · per provider

Cost calculator

Pick any of the providers above and type how many tokens you expect per day, week, or year. We turn that into rough dollar totals for GPT-4o-mini Search Preview.

Provider

In: $0.150/M·Out: $0.600/M

0.015000¢ / req

0.030000¢ / req

Daily
$4.50
Monthly
$135
Annual
$1.6K

Model specifications

Quick spec sheet for GPT-4o-mini Search Preview before you dive back into pricing. Family: GPT-4o mini. Reported under OpenAI.

Context window
128,000 tokens
Max output
16,384 tokens
Vision (images)
Yes
Tool / function calling
Yes
Streaming
No
Released
Mar 2025
Primary provider
OpenAI
Model family
GPT-4o mini

Compare GPT-4o-mini Search Preview

Jump into a comparison when you want one table for two models instead of two tabs. 6 curated matches for GPT-4o-mini Search Preview.

Frequently asked questions

Answers pull from the same numbers you see on this page. The short model note from our index: GPT-4o mini Search Preview is a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

GPT-4o-mini Search Preview costs $0.15 per million input tokens and $0.60 per million output tokens via the native API. Prompt caching reduces input costs to $0.07/M tokens.

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