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GPT-4o Vision

GPT-4o Vision is a multimodal model from OpenAI that processes both images and text within a 128,000-token context window.

PublisherOpenAI
TypeVision
Context Window128,000 tokens
ReleasedMay 2024
Input$2.50/MTok
Output$10.00/MTok
FASTVISION

Multimodal vision and text understanding from OpenAI

GPT-4o Vision is a vision-capable variant of OpenAI's GPT-4o model, released in May 2024 under the identifier gpt-4o-2024-05-13. It accepts both text and image inputs, allowing it to analyze, describe, and reason about visual content alongside natural language. The model supports a 128,000-token context window and produces responses of up to 4,096 tokens per completion.

GPT-4o Vision is well suited for tasks that require understanding visual information in context, such as interpreting charts and diagrams, extracting text from images, answering questions about photographs, and supporting document analysis workflows. Because it handles both modalities in a single model rather than through a separate pipeline, it can respond to prompts that combine image and text inputs without additional preprocessing steps. Developers building applications that need to process user-uploaded images alongside written instructions will find this model a direct fit for those requirements.

What GPT-4o Vision supports

Image Understanding

Analyzes and interprets image inputs alongside text prompts, enabling tasks like object identification, scene description, and visual question answering.

Large Context Window

Supports up to 128,000 tokens of context per request, allowing long documents or multiple images to be included in a single prompt.

Fast Inference

Tagged as FAST, indicating the model is optimized for lower-latency responses relative to heavier reasoning variants.

Configurable Temperature

Accepts a numeric temperature input to control output randomness, letting developers tune response variability for their specific use case.

Max Token Control

Exposes a maxResponseTokens parameter capped at 4,096 tokens, giving developers direct control over response length per completion.

Text Extraction from Images

Can read and transcribe text appearing within images, supporting use cases like receipt parsing, form digitization, and screenshot analysis.

Chart and Diagram Analysis

Interprets structured visual content such as graphs, tables, and technical diagrams, returning factual descriptions or data summaries.

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Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

BenchmarkWhat it testsScore
MMLU-ProExpert knowledge across 14 academic disciplines74.8%
GPQA DiamondPhD-level science questions (biology, physics, chemistry)54.3%
MATH-500Undergraduate and competition-level math problems75.9%
AIME 2024American math olympiad problems15.0%
LiveCodeBenchReal-world coding tasks from recent competitions30.9%
HLEQuestions that challenge frontier models across many domains3.3%
SciCodeScientific research coding and numerical methods33.3%

Common questions about GPT-4o Vision

What is the context window size for GPT-4o Vision?

GPT-4o Vision supports a context window of 128,000 tokens per request, which can include both text and image content.

What is the maximum response length?

The model can generate up to 4,096 tokens per response. This limit can be configured using the maxResponseTokens input parameter.

What types of inputs does GPT-4o Vision accept?

The model accepts image and text inputs together, allowing prompts that combine written instructions with one or more images in the same request.

What is the knowledge cutoff date for GPT-4o Vision?

The gpt-4o-2024-05-13 model version was released in May 2024. OpenAI has documented a training data cutoff of October 2023 for this model version.

Does GPT-4o Vision support video analysis?

The metadata for this model does not indicate support for video analysis. It is designed for still image and text inputs.

Who publishes GPT-4o Vision and where is it hosted?

GPT-4o Vision is published by OpenAI and is available as a first-party model on MindStudio, meaning no separate API key setup is required to use it through the platform.

Parameters & options

Max Temperature2
Max Response Size4,096 tokens
TemperatureNumber
Default: 1Range: 0–2 (step 0.1)
Max Response TokensNumber
Default: 2048Range: 1–4096 (step 1)

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