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GPT-5 Image Mini: Pricing, Context Window & Benchmarks

by OpenAI

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text rendering, and detailed image editing with reduced latency and cost. It excels at high-quality visual creation while maintaining strong text understanding, making it ideal for applications that require both efficient image generation and text processing at scale.

Chat with GPT-5 Image Mini
Input Price
$1.25/1M tokens
Output Price
$10.00/1M tokens
Intelligence
44.6
Coding
36.0

What you can do with GPT-5 Image Mini

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

6 tests
GPQA
85.4%
MMLU Pro
87.1%
LiveCodeBench
84.6%
Math 500
99.4%
AIME 2025
94.3%
HLE
26.5%
Metric Value
Provider OpenAI
Context Window 400,000 tokens
Input Price $1.25/1M tokens
Output Price $10.00/1M tokens
Release Date Aug 7, 2025
Modalities file, image, text
Capabilities Vision

Compare GPT-5 Image Mini to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is GPT-5 Image Mini good for?

Use GPT-5 Image Mini for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does GPT-5 Image Mini cost?

Pricing is based on usage. Current rates are $1.25/1M tokens for input and $10.00/1M tokens for output.

Can I try GPT-5 Image Mini for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does GPT-5 Image Mini support images or audio?

GPT-5 Image Mini can understand images.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.