GPT-4o Vision
A GPT-4o variant with vision capabilities, processing both text and image inputs.
OpenAI Text and image understanding in one model
GPT-4o Vision is a variant of OpenAI's GPT-4o model that accepts both text and image inputs, allowing it to analyze visual content and respond to questions about it. Developed by OpenAI and added to MindStudio in June 2024, it supports a 128,000-token context window and has a training data cutoff of October 2023. The model addresses a historical limitation of language models, which traditionally processed only text, by enabling multimodal input handling within a single system.
GPT-4o Vision is well suited for tasks that require interpreting images alongside text, such as describing visual content, answering questions about photographs or diagrams, extracting information from images, and supporting workflows where visual and textual data appear together. Because it shares the GPT-4o architecture, it handles natural language tasks in addition to vision tasks without requiring a separate model. Developers building applications that involve document analysis, image-based Q&A, or mixed-media content can use this model through the OpenAI API.
What GPT-4o Vision supports
Image Understanding
Accepts image inputs alongside text prompts, enabling the model to answer questions about, describe, or extract information from photographs, diagrams, and other visual content.
Long Context Window
Supports up to 128,000 tokens per request, allowing large amounts of text and image data to be included in a single prompt.
Fast Inference
Tagged as FAST in the MindStudio catalog, indicating the model is optimized for lower-latency responses relative to heavier reasoning variants.
Multimodal Input
Processes combined text and image inputs in a single request, removing the need to route visual and textual content through separate models.
Natural Language Generation
Produces fluent text responses to both text-only and image-accompanied prompts, supporting tasks like summarization, Q&A, and content description.
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Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 74.8% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 54.3% |
| MATH-500 | Undergraduate and competition-level math problems | 75.9% |
| AIME 2024 | American math olympiad problems | 15.0% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 30.9% |
| HLE | Questions that challenge frontier models across many domains | 3.3% |
| SciCode | Scientific research coding and numerical methods | 33.3% |
Common questions about GPT-4o Vision
What is the context window for GPT-4o Vision?
GPT-4o Vision supports a context window of 128,000 tokens, which can include both text and image content within a single request.
What is the knowledge cutoff date for this model?
The model's training data has a cutoff of October 2023, meaning it does not have knowledge of events or information published after that date.
What types of inputs does GPT-4o Vision accept?
The model accepts both text and image inputs, allowing users to submit images alongside natural language prompts for analysis or Q&A.
Who publishes GPT-4o Vision?
GPT-4o Vision is published by OpenAI and is accessible through the OpenAI API as well as through MindStudio.
What kinds of tasks is GPT-4o Vision suited for?
It is suited for tasks that involve visual content interpretation, such as describing images, answering questions about diagrams or photos, and extracting information from image-based documents.
What people think about GPT-4o Vision
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Parameters & options
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