GPT-4 Turbo Vision
GPT-4 Turbo Vision is a multimodal model from OpenAI that processes both images and text with a 128,000-token context window.
OpenAIVision and text understanding with large context
GPT-4 Turbo Vision is a multimodal large language model developed by OpenAI, released in December 2023. It extends the GPT-4 Turbo architecture with the ability to accept image inputs alongside text, enabling tasks that require understanding visual content in context. The model supports a 128,000-token context window and produces responses of up to 4,096 tokens.
GPT-4 Turbo Vision is well suited for tasks that combine visual and textual reasoning, such as analyzing diagrams, interpreting screenshots, describing images, and answering questions grounded in visual content. Its large context window allows it to handle lengthy documents or multi-turn conversations alongside image inputs. Developers working on applications that require both language understanding and image comprehension will find this model a practical choice for building vision-enabled workflows.
What GPT-4 Turbo Vision supports
Image Understanding
Accepts image inputs alongside text prompts, enabling the model to describe, analyze, and answer questions about visual content within a single request.
Large Context Window
Supports up to 128,000 tokens of context per request, allowing long documents, extended conversations, or multiple images to be included in a single prompt.
Fast Inference
Tagged as very fast, making it suitable for latency-sensitive applications that require quick responses to combined image and text inputs.
Configurable Temperature
Exposes a temperature parameter so developers can tune output randomness, from deterministic responses near 0 to more varied outputs at higher values.
Response Length Control
Accepts a max response tokens parameter capped at 4,096 tokens, giving developers direct control over output length per request.
Multimodal Reasoning
Combines language reasoning with visual context, supporting use cases like diagram interpretation, chart analysis, and document understanding.
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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 | 69.4% |
| MATH-500 | Undergraduate and competition-level math problems | 73.7% |
| AIME 2024 | American math olympiad problems | 15.0% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 29.1% |
| HLE | Questions that challenge frontier models across many domains | 3.3% |
| SciCode | Scientific research coding and numerical methods | 31.9% |
Common questions about GPT-4 Turbo Vision
What is the context window size for GPT-4 Turbo Vision?
GPT-4 Turbo Vision supports a context window of 128,000 tokens, which includes both text and image inputs combined.
What is the maximum response length?
The model can generate responses of up to 4,096 tokens per request.
What types of inputs does GPT-4 Turbo Vision accept?
The model accepts text and image inputs. It also exposes two configurable numeric parameters: temperature and max response tokens.
What is the knowledge cutoff date for GPT-4 Turbo Vision?
The metadata does not specify a knowledge cutoff date. OpenAI has publicly stated that GPT-4 Turbo models have a knowledge cutoff of April 2023, but you should verify this with OpenAI's official documentation for the specific model version.
When was GPT-4 Turbo Vision released?
GPT-4 Turbo Vision was released in December 2023, according to the model metadata.
Do I need an OpenAI API key to use GPT-4 Turbo Vision on MindStudio?
No. MindStudio provides first-party access to GPT-4 Turbo Vision, so no separate OpenAI API key is required to use the model through the platform.
Documentation & links
Parameters & options
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