Text Generation Model

GPT-4o Mini

Low-cost, low-latency model surpassing GPT-3.5 Turbo in textual intelligence and multimodal reasoning.

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Publisher

OpenAI

Type Text

Context Window 128,000 tokens

Training Data Oct 2023

Input $0.15/MTok

Output $0.60/MTok

LOW COSTLOW LATENCYFAST

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About GPT-4o Mini

Low-cost, low-latency text and multimodal reasoning

GPT-4o Mini is a text generation model developed by OpenAI and released in July 2024. It is designed to deliver low-cost, low-latency responses across a wide range of tasks, making it suitable for applications that require fast throughput or high request volumes. The model supports a 128,000-token context window and is compatible with the same range of languages as GPT-4o.

GPT-4o Mini is positioned for use cases such as real-time customer interactions, processing large volumes of context, and multimodal reasoning tasks. It performs on academic benchmarks across both textual intelligence and multimodal reasoning, outscoring GPT-3.5 Turbo and other small models in those evaluations. Its combination of speed and affordability makes it a practical choice for developers building cost-sensitive production applications.

Capabilities

What GPT-4o Mini supports

Large Context Window

Accepts up to 128,000 tokens of input in a single request, enabling processing of long documents, transcripts, or multi-turn conversation histories.

Low Latency Responses

Optimized for fast response times, making it suitable for real-time applications such as customer-facing chat interfaces.

Cost-Efficient Operation

Priced significantly lower than larger GPT-4 class models, allowing high-volume deployments without proportional cost increases.

Multilingual Text Generation

Supports the same range of languages as GPT-4o, enabling text generation and comprehension across diverse language inputs.

Multimodal Reasoning

Capable of reasoning over both text and image inputs, supporting tasks that combine visual and textual understanding.

Structured Output

Supports JSON mode and function calling, allowing developers to receive predictable, machine-readable responses for integration into pipelines.

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Performance

Benchmark 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	64.8%
GPQA Diamond	PhD-level science questions (biology, physics, chemistry)	42.6%
MATH-500	Undergraduate and competition-level math problems	78.9%
AIME 2024	American math olympiad problems	11.7%
LiveCodeBench	Real-world coding tasks from recent competitions	23.4%
HLE	Questions that challenge frontier models across many domains	4.0%
SciCode	Scientific research coding and numerical methods	22.9%

FAQ

Common questions about GPT-4o Mini

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

GPT-4o Mini supports a context window of 128,000 tokens, allowing large amounts of text or conversation history to be passed in a single request.

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

GPT-4o Mini has a training data cutoff of October 2023, meaning it does not have knowledge of events that occurred after that date.

What types of inputs does GPT-4o Mini support?

GPT-4o Mini supports text inputs and also has multimodal reasoning capabilities, meaning it can process image inputs alongside text.

Is GPT-4o Mini suitable for production applications with high request volumes?

Yes. GPT-4o Mini is designed for low cost and low latency, making it well-suited for high-volume production use cases such as real-time customer interactions or batch processing tasks.

Does GPT-4o Mini support function calling and structured outputs?

Yes. GPT-4o Mini supports function calling and JSON mode, which allow developers to receive structured, predictable outputs for use in automated pipelines and integrations.

Resources