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GPT-5 Image Mini

GPT-5 Image Mini is an OpenAI model for lightweight image understanding and generation, optimized for speed and efficiency over maximum fidelity.

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What is GPT-5 Image Mini?

GPT-5 Image Mini is a compact OpenAI vision model focused on fast, cost‑efficient image analysis and generation. It is mainly used for tasks like quick image captioning, simple visual question answering, and basic image-based UI or assistant features. It also supports lightweight creative image generation for mockups, drafts, and low-resolution concepts where turnaround time matters more than photorealism. It follows earlier OpenAI multimodal models in the GPT and image model families, offering a smaller, more efficient option for visual workloads.

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Provider Input Output Cache read /M Latency Throughput Uptime
OpenAI ~$0.0008/img ~$0.0008/img — ~220ms ~80 img/min 99.06%
Azure OpenAI ~$0.0009/img ~$0.0009/img — ~250ms ~70 img/min 100.00%
Amazon Bedrock ~$0.0010/img ~$0.0010/img — ~260ms ~65 img/min 100.00%
Anthropic ~$0.0011/img ~$0.0011/img — ~240ms ~75 img/min 99.28%

Try this model

Test GPT-5 Image Mini right here — free to start.

GPT-5 Image Mini
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call the model through the OpenAI-compatible API.

python 
                                        from openai import OpenAI
                                            
                                            client = OpenAI(
                                                api_key="YOUR_API_KEY",
                                                base_url="https://inference.example.com/v1"
                                            )
                                            
                                            response = client.chat.completions.create(
                                                model="openai/gpt-5-image-mini",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "openai/gpt-5-image-mini",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

Uptime

30-Day Uptime
99.06%
Past Incidents (30d)
2
Error rate (24h)
0.00%

Last 30 days

28/30 days operational | 99.06% uptime

30 days ago Today
Operational Degraded Outage Maintenance
See All Incidents

5 Core Capabilities

  • Vision Model

    Specialized small-footprint vision model from OpenAI’s GPT-5 family, optimized for fast image-related tasks and integrations.

  • Image Text Extraction

    Extracts readable text from images when present, enabling downstream processing like search, classification, or simple understanding tasks.

  • Instruction Following

    Follows concise instructions about images, such as answering simple questions or identifying requested visual elements within them.

  • Lightweight Deployment

    Designed for efficient, low-latency use in applications that need quick image understanding without the overhead of larger multimodal models.

  • Multilingual Labels

    Can provide basic labels or short descriptions for visual content that may support multiple languages, depending on tooling configuration.

6 Most Valuable Use Cases

  • Product Photo Generation
  • UI Mockup Creation
  • Marketing Visual Assets
  • Presentation Slide Graphics
  • Storyboard Image Drafting
  • Educational Diagram Rendering

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent Model Routing

    Automatically route each request to the best model across providers based on cost, latency, or quality—no client changes, just smarter traffic decisions.

    One endpoint, many LLMs

  • Cost-Aware Optimization

    Control spend with dynamic model selection, rate limits, and hard budgets while keeping performance high. Ship fast without losing track of every token.

    Cut costs, not coverage

  • Resilient Fallback Flows

    Design multi-provider failover in a few lines: auto-retry on errors, degrade gracefully, and keep production apps online even when vendors break.

    Failure-safe by default

  • End-to-End Observability

    Get full traces, metrics, and logs for every call across all providers. Debug latency, drift, and failures from a single, provider-agnostic dashboard.

    See every token hop

  • Task-Aware Orchestration

    Express high-level tasks—chat, tools, RAG, agents—once and let LLM.API pick the right models, parameters, and workflows for each use case.

    Tasks, not glue code

  • High-Throughput Batch Jobs

    Run massive batch generations, evaluations, or embeddings with built-in concurrency controls, retries, and progress tracking—without building custom job infrastructure.

    Batch at platform scale

When to Use — When NOT to Use

Use it if...

  • You need affordable, high-volume image understanding for tasks like tagging, captioning, or OCR.
  • You need to quickly extract visual features from images to feed downstream text models.
  • Your use case involves simple multimodal prompts combining short text with single images.
  • Your use case involves prototyping vision capabilities without requiring top-tier image accuracy.
  • You need to process many user-uploaded photos for safety checks or basic classification.
  • Your use case involves converting screenshots into structured text for search or indexing.
  • You need lightweight visual QA over simple diagrams, UI mockups, or charts.

Avoid if...

  • You need state-of-the-art vision accuracy on complex medical, industrial, or scientific imagery.
  • Your workload requires strong long-context reasoning across many images and lengthy documents.
  • You need pixel-perfect understanding for fine-grained tasks like detailed CAD or blueprint analysis.
  • Your workload requires real-time, low-latency image processing in tight on-device constraints.
  • You need consistent, production-grade performance on adversarial or safety-critical visual inputs.
  • You need advanced multimodal agents deeply reasoning across video, audio, and large text contexts.
  • Your workload requires training or fine-tuning the vision model on proprietary image datasets.

Frequently Asked Questions

  • What is GPT-5 Image Mini?

    GPT-5 Image Mini is an OpenAI model optimized for fast, low-cost image understanding and lightweight vision-language tasks via the LLM.API gateway.

  • What is GPT-5 Image Mini best suited for?

    GPT-5 Image Mini is best for quick image captioning, classification, basic visual question answering, and integrating lightweight vision features into applications.

  • How is GPT-5 Image Mini priced when accessed through LLM.API?

    GPT-5 Image Mini usage is billed per input tokens and image units according to LLM.API’s OpenAI pricing tier for this model.

  • What context window does GPT-5 Image Mini support?

    GPT-5 Image Mini supports a context window sized for short to medium prompts, suitable for concise instructions and descriptions alongside images.

  • How fast is GPT-5 Image Mini in terms of latency?

    GPT-5 Image Mini is optimized for low latency, returning responses quickly enough for interactive applications and real-time user interfaces.

  • What input and output modalities does GPT-5 Image Mini support?

    GPT-5 Image Mini accepts image and text inputs and returns text outputs describing, analyzing, or reasoning about the provided images.

  • How do I call GPT-5 Image Mini through the LLM.API?

    Use the LLM.API completion or chat endpoint with the provider set to OpenAI and the model name set to gpt-5-image-mini.

  • How does GPT-5 Image Mini compare to larger GPT-5 vision models?

    GPT-5 Image Mini is cheaper and faster but less capable on complex reasoning, detailed analysis, and high-stakes vision tasks than larger GPT-5 variants.

  • Can GPT-5 Image Mini generate new images?

    No, GPT-5 Image Mini focuses on understanding and describing existing images rather than generating new images from scratch.

  • Does GPT-5 Image Mini support streaming responses on LLM.API?

    Yes, GPT-5 Image Mini can stream text tokens via LLM.API when you enable streaming in the request parameters.

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