GPT-4o Mini Vision
GPT-4o Mini Vision is a vision-capable model from OpenAI with a 128,000-token context window and low-latency responses.
OpenAIAffordable vision model with large context
GPT-4o Mini Vision is a multimodal model developed by OpenAI, released in July 2024 under the model version identifier gpt-4o-mini-2024-07-18. It is designed to process and reason about image inputs alongside text, making it suitable for tasks that require visual understanding at a reduced cost and latency compared to larger variants in the GPT-4o family. The model supports a context window of 128,000 tokens and can generate responses up to 16,383 tokens in length.
GPT-4o Mini Vision is positioned for use cases where image comprehension is needed but resource efficiency is a priority, such as document parsing, image captioning, visual question answering, and lightweight multimodal pipelines. Its low-cost and low-latency characteristics make it practical for high-throughput applications or scenarios where many requests are processed in parallel. Developers can configure temperature and maximum response token count to tune output behavior for their specific workflows.
What GPT-4o Mini Vision supports
Image Understanding
Accepts image inputs alongside text prompts to answer questions, describe content, or extract information from visual data.
Large Context Window
Supports up to 128,000 tokens of context, allowing long documents or multi-image inputs to be processed in a single request.
Low Latency Responses
Optimized for faster response times, making it suitable for real-time or high-throughput applications that require quick turnaround.
Low Cost Operation
Priced below larger GPT-4o variants, reducing per-request costs for applications that process large volumes of vision tasks.
Configurable Temperature
Accepts a numeric temperature parameter to control output randomness, from deterministic responses near 0 to more varied outputs at higher values.
Response Length Control
Supports a configurable max response tokens parameter, with a ceiling of 16,383 tokens per response.
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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 Mini Vision
What is the context window size for GPT-4o Mini Vision?
GPT-4o Mini Vision supports a context window of 128,000 tokens, which allows for long conversations, large documents, or multiple images to be included in a single request.
What is the maximum response length this model can produce?
The model can generate up to 16,383 tokens in a single response. You can set a lower limit using the Max Response Tokens input parameter.
What types of inputs does GPT-4o Mini Vision accept?
The model accepts text and image inputs. On MindStudio, configurable inputs include temperature and max response tokens as numeric parameters.
When was GPT-4o Mini Vision released?
GPT-4o Mini Vision was released in July 2024, corresponding to the model version gpt-4o-mini-2024-07-18.
What is GPT-4o Mini Vision best suited for?
It is well suited for vision tasks that require cost efficiency and low latency, such as image captioning, visual question answering, document parsing, and multimodal pipelines processing high volumes of requests.
Parameters & options
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