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GPT-5 Mini

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Multimodal model handling massive text, image, and file contexts.

OpenAIMultimodalClosed
Vision
Model page
Updated 2026-06-14

About GPT-5 Mini

GPT-5 Mini combines multimodal capabilities in a compact form factor from OpenAI. It accepts text, images, and files while supporting an extensive 400000-token context. This design enables coherent handling of lengthy mixed-media inputs without open-weight access.

Strengths center on efficient integration of diverse modalities for complex queries. Typical usage spans content analysis, generation, and reasoning tasks that benefit from large context and multiple data types.

Capabilities

Long-context reasoning
Multimodal understanding
Image analysis
File processing
Text generation
Document summarization

How GPT-5 Mini compares

GPT-5 Mini (striped bar) vs other multimodal on intelligence, speed and price.

Price

USD per 1M output tokens · Lower is better · GPT-5 Mini ranks #34 of 97

$1.5
Perceptron Mk1
$1.6
Qwen3.5-27B
$1.6
Qwen3 VL 30B A3B Thinking
$1.8
Qwen3.5 Plus 2026-04-20
$1.8
GLM 4.5V
$1.9
Qwen3.6 Plus
$2.0
GPT-5 Mini
$2.0
GPT-5.1-Codex-Mini
$2.0
Devstral 2 2512
$2.0
Grok Build 0.1
$2.0
Seed 1.6
$2.0
Qwen3.6 27B
$2.0
Seed-2.0-Lite

Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).

Best for

Long-form document summarization

GPT-5 Mini excels at condensing extensive reports or research collections within its 400,000-token context, delivering coherent summaries while preserving key details across multiple sections.

Multimodal file analysis

The model handles combined text, image, and file inputs for tasks like extracting insights from mixed-media documents or interpreting visual data alongside written content.

Extended reasoning workflows

It supports complex, multi-step reasoning over large inputs, making it suitable for analyzing interconnected data sets that require sustained logical consistency.

Strengths & limitations

Strengths

  • +Handles very large contexts efficiently
  • +Integrates text, image, and file inputs
  • +Suitable for complex multi-turn tasks
  • +Compact multimodal design

Limitations

  • –Reduced depth on highly complex reasoning vs full-size models
  • –Performance depends on input clarity across modalities
  • –May require careful prompting for nuanced outputs

Cost calculator

Estimate what GPT-5 Mini would cost for your usage.

$0.00125
per request
$12.5
estimated / month

Based on GPT-5 Mini's $0.25/1M 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.

JavaScript · openai
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-mini",
  messages: [{ role: "user", content: "Hello!" }],
});

console.log(completion.choices[0].message.content);

Model slug: openai/gpt-5-mini

Editor's verdict

Our take on GPT-5 Mini

GPT-5 Mini is OpenAI's proprietary multimodal 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 handles very large contexts efficiently and integrates text, image, and file inputs.

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Frequently asked questions

GPT-5 Mini provides a context window of 400,000 tokens for processing long inputs.

User reviews

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Other GPT models

Sibling versions in the GPT family from OpenAI.

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