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GPT-5.4 Image 2

GPT-5.4 Image 2 is an OpenAI multimodal model that can understand and generate both text and images.

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What is GPT-5.4 Image 2?

GPT-5.4 Image 2 is a multimodal OpenAI model designed to process and generate text and images. It is mainly used for tasks such as describing, analyzing, or transforming images using natural language, and for creating or editing images from textual instructions. It is also applied in interactive applications that need both conversational intelligence and visual understanding, such as assistants, design tools, and educational platforms. It follows earlier OpenAI GPT and image models, extending that family with tighter integration of vision and language.

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 ~$0.080/img ~$0.080/img — ~250ms ~80 img/min 99.06%
Azure OpenAI ~$0.090/img ~$0.090/img — ~280ms ~70 img/min 100.00%
Anthropic (Claude Vision-equivalent) ~$0.0014/img ~$0.0014/img — ~320ms ~480 img/min 99.9%
Google (Gemini Vision-equivalent) ~$0.0015/img ~$0.0015/img — ~340ms ~450 img/min 99.9%

Try this model

Test GPT-5.4 Image 2 right here — free to start.

GPT-5.4 Image 2
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-5-4-image-2",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "openai/gpt-5-4-image-2",
                                                "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

  • Multimodal Chat

    Engages in interactive conversations, following complex instructions and maintaining context across long dialogues for varied assistant-style tasks.

  • Image Interpretation

    Accepts images as input and explains visual content, answering questions about objects, layouts, charts, and other scene details.

  • Visual Text Reading

    Reads and transcribes text embedded in images, such as documents, signs, screenshots, and handwritten notes, supporting downstream reasoning tasks.

  • Code and Tools

    Helps write and analyze code, and can integrate with tools or APIs when available to solve more complex workflows.

  • Multilingual Handling

    Understands and generates multiple languages, enabling cross-lingual question answering, drafting, and basic translation-style assistance tasks.

6 Most Valuable Use Cases

  • Product Photo Generation
  • Marketing Visual Design
  • UI Mockup Creation
  • Chart And Diagram Rendering
  • Legal Diagram Illustration
  • Vision Model Prototyping

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 optimal model across providers based on latency, cost, and quality—no client changes, just smarter responses over time.

    One endpoint, every model

  • Cost-Aware Execution

    Enforce per-project and per-request cost controls with transparent pricing across providers so you can experiment freely, ship faster, and avoid billing surprises at scale.

    Control spend by design

  • Resilient Fallback Flows

    Define automatic failover to backup models and providers on errors, timeouts, or rate limits so your production workloads stay online without custom retry logic.

    No single point of failure

  • Deep LLM Observability

    Get centralized logs, traces, and metrics for every provider and model—spot regressions, debug prompts, and tune routing rules from one observability layer.

    See every token, everywhere

  • Task-Level Orchestration

    Describe tasks, not providers—LLM.API picks tools, models, and parameters, letting you iterate on behavior instead of wiring low-level AI plumbing.

    Ship tasks, not glue code

  • High-Throughput Batch Jobs

    Run large-scale batch inference with concurrency, retries, and progress tracking handled for you—perfect for backfills, reprocessing, and offline evaluation pipelines.

    Batch at production scale

When to Use — When NOT to Use

Use it if...

  • You need a single model that can understand both images and text together.
  • You need high-quality image understanding for UI screenshots, charts, and dense diagrams.
  • Your use case involves multimodal agents that reason over photos, documents, and web pages.
  • You need reliable extraction of structured data from complex images, dashboards, or forms.
  • Your use case involves visually grounded reasoning, like comparing product photos or layouts.
  • You need to explain, summarize, or caption images in natural, fluent English text.
  • Your use case involves multi-turn troubleshooting using both photos and textual logs together.

Avoid if...

  • You need a minimal, cheapest-possible text-only model without any image capabilities.
  • Your workload requires strict offline deployment with no dependence on external APIs.
  • You need deterministic, bit-for-bit reproducible outputs for regulatory or safety certification.
  • Your workload requires hard real-time guarantees or ultra-low latency edge inference.
  • You need to process only simple, short text queries where smaller models suffice.
  • Your workload requires training or fine-tuning the base vision model directly on-premise.
  • You need a fully open-source vision-language stack that can run entirely on your hardware.

Frequently Asked Questions

  • What is GPT-5.4 Image 2?

    GPT-5.4 Image 2 is an OpenAI multimodal model accessible via LLM.API, designed for combined image understanding and high-quality text generation.

  • What is GPT-5.4 Image 2 best suited for?

    It excels at image captioning, visual question answering, UI or chart understanding, and generating detailed text grounded in complex visual inputs.

  • What modalities does GPT-5.4 Image 2 support?

    GPT-5.4 Image 2 accepts image and text inputs and returns text outputs through the unified LLM.API interface.

  • How is GPT-5.4 Image 2 priced on LLM.API?

    LLM.API handles metering and billing, so you pay per token and image usage according to LLM.API’s OpenAI GPT-5.4 Image 2 pricing tier.

  • What is the context window of GPT-5.4 Image 2?

    GPT-5.4 Image 2 supports a large-token text context window suitable for multi-step reasoning over long prompts and image-derived descriptions.

  • How fast is GPT-5.4 Image 2 in terms of latency?

    Typical latency is higher than lightweight text-only models but remains suitable for interactive applications, especially when using streaming responses.

  • How do I call GPT-5.4 Image 2 through LLM.API?

    Specify the provider as OpenAI and the model name as "gpt-5.4-image-2" in your LLM.API request, attaching images as supported media inputs.

  • How does GPT-5.4 Image 2 compare to similar OpenAI models?

    Compared to text-only GPT-5.x models, it adds advanced image understanding while keeping similar instruction-following, reasoning, and code-generation capabilities.

  • Does GPT-5.4 Image 2 support streaming responses via LLM.API?

    Yes, GPT-5.4 Image 2 can stream tokens through LLM.API, enabling partial responses to appear while the model is still generating.

  • What limitations should I be aware of with GPT-5.4 Image 2?

    It can still hallucinate facts, misinterpret ambiguous images, and should not be solely relied on for safety-critical or legally binding decisions.

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