GPT-5 Image Mini
VerifiedOpenAI's compact multimodal model for image and text tasks.
About GPT-5 Image Mini
The architecture prioritizes image handling alongside text and file inputs. A large context window supports lengthy multimodal sequences. This setup suits detailed visual analysis without open-weight access.
Strengths center on efficient modality blending for complex queries. Parameter information remains undisclosed to emphasize capability over specifics. Users benefit from reliable performance in closed environments.
Typical usage involves image captioning, visual question answering, and file-augmented image workflows. Developers integrate it for applications needing extensive context with visual data. The model fits enterprise scenarios where proprietary access is preferred.
Capabilities
How GPT-5 Image Mini compares
GPT-5 Image Mini (striped bar) vs other image models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-5 Image Mini ranks #1 of 6
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context file analysis
Processes documents up to 400,000 tokens that combine text and images, supporting detailed multimodal reasoning across extensive visual and textual data.
Image generation and editing workflows
Handles text-image integration for creating or refining visuals while maintaining consistency with long-form instructions or reference files.
Visual question answering
Answers complex queries about images by combining vision understanding with multimodal reasoning, even when additional context spans hundreds of thousands of tokens.
Strengths & limitations
Strengths
- +Very large context window for multi-image tasks
- +Native support for mixed file, image and text inputs
- +Strong OpenAI alignment on image safety
- +Efficient for vision-heavy workflows
Limitations
- –Mini size may limit depth on complex non-visual reasoning
- –Image-centric focus reduces versatility for pure text tasks
- –Large context can increase latency
Cost calculator
Estimate what GPT-5 Image Mini would cost for your usage.
Based on GPT-5 Image Mini's $2.50/1M input · $2.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-5-image-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-5-image-mini
Editor's verdict
GPT-5 Image Mini is OpenAI's proprietary image models with a 400K-token context window.
At $2.00 per 1M output tokens, it is mid-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to very large context window for multi-image tasks and native support for mixed file, image and text inputs.
Frequently asked questions
The model provides a 400,000 token context window for handling large multimodal inputs.
User reviews
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