GPT-4o Mini
GPT-4o Mini is a low-cost, low-latency text generation model from OpenAI with a 128,000-token context window.
Low-cost, fast text generation from OpenAI
GPT-4o Mini is a text generation model developed by OpenAI, added to MindStudio on July 18, 2024. It is designed to handle a broad range of language tasks at reduced cost and latency compared to larger models in the GPT-4o family, making it suited for high-volume or real-time applications. The model supports a 128,000-token context window and can produce responses up to 16,383 tokens in length.
GPT-4o Mini is particularly well-suited for use cases that require fast, real-time text responses, such as customer-facing chat interfaces or applications that pass large volumes of context in each request. It supports the same range of languages as GPT-4o and performs competitively on academic benchmarks covering textual intelligence and multimodal reasoning. Note that this model's status is currently marked as deprecated on MindStudio, so developers should verify availability before building new integrations around it.
What GPT-4o Mini supports
Large Context Window
Accepts up to 128,000 tokens of input per request, allowing entire documents or long conversation histories to be passed in a single call.
Low Latency Responses
Optimized for fast response times, making it suitable for real-time applications such as live chat or interactive assistants.
Cost-Efficient Operation
Designed to run at lower cost than larger GPT-4o variants, enabling high-volume text generation workloads without proportional cost increases.
Multilingual Text Generation
Supports the same range of languages as GPT-4o, covering a broad set of natural languages for generation and comprehension tasks.
Extended Response Length
Can generate responses up to 16,383 tokens, supporting detailed outputs such as long-form summaries, reports, or multi-step instructions.
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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 | 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% |
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, meaning you can include up to 128,000 tokens of combined input and conversation history in a single request.
What is the maximum response length?
The model can generate responses of up to 16,383 tokens per request.
Is GPT-4o Mini still available on MindStudio?
The model's status is listed as deprecated on MindStudio. Developers should check current availability before building new workflows that depend on this model.
What types of tasks is GPT-4o Mini best suited for?
It is designed for tasks that benefit from low cost and low latency, such as real-time customer interactions, high-volume text processing, and applications that need to pass large amounts of context per request.
Does GPT-4o Mini support multiple languages?
Yes. GPT-4o Mini supports the same range of languages as GPT-4o, making it usable for multilingual text generation and comprehension tasks.
Parameters & options
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