GPT-4 Turbo
Combines GPT-4's sophisticated language processing with faster response times for interactive applications.
OpenAI GPT-4 quality with faster response times
GPT-4 Turbo is a variant of OpenAI's GPT-4 model, released to provide faster response times while retaining the language understanding and generation capabilities of the base GPT-4. It supports a 128,000-token context window, allowing it to process and reason over long documents, extended conversations, or large blocks of text in a single request. The model has a training data cutoff of December 2023 and is available through OpenAI's API.
GPT-4 Turbo is designed for use cases where both response quality and speed matter, such as interactive chatbots, real-time content generation, and applications that need to handle lengthy inputs. Its large context window makes it well-suited for tasks like document summarization, multi-turn dialogue, and code generation across large codebases. Developers building latency-sensitive applications often choose this variant over the base GPT-4 for its improved throughput.
What GPT-4 Turbo supports
Fast Text Generation
Generates text responses at faster speeds than the base GPT-4 model, making it suitable for real-time and interactive applications.
Large Context Window
Supports up to 128,000 tokens in a single context, enabling processing of long documents or extended multi-turn conversations in one request.
Natural Language Understanding
Handles complex language tasks including summarization, question answering, and instruction following across a wide range of topics.
Code Generation
Writes, explains, and debugs code across multiple programming languages, and can reason over large codebases within its 128K context window.
Instruction Following
Follows detailed, multi-step instructions with high fidelity, supporting structured output formats such as JSON when specified in the prompt.
Multi-turn Dialogue
Maintains coherent conversation history across long exchanges, retaining context for up to 128,000 tokens within a session.
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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
What is the context window size for GPT-4 Turbo?
GPT-4 Turbo supports a context window of 128,000 tokens, which allows it to process long documents, extended conversations, or large code files in a single request.
What is the training data cutoff for GPT-4 Turbo?
GPT-4 Turbo has a training data cutoff of December 2023, meaning it does not have knowledge of events that occurred after that date.
How does GPT-4 Turbo differ from the base GPT-4 model?
GPT-4 Turbo is designed to deliver faster response times compared to the base GPT-4, while maintaining similar language understanding and generation capabilities. It also features a larger context window of 128,000 tokens.
What types of tasks is GPT-4 Turbo best suited for?
GPT-4 Turbo is well-suited for interactive applications like chatbots, real-time content generation, document summarization, code generation, and any use case that benefits from a large context window and faster response times.
Who publishes GPT-4 Turbo and how can I access it?
GPT-4 Turbo is published by OpenAI and is accessible through the OpenAI API. On MindStudio, you can use it directly without managing your own API keys.
What people think about GPT-4 Turbo
The Reddit threads provided do not directly discuss GPT-4 Turbo and instead cover unrelated topics such as other AI platforms, hardware announcements, and non-OpenAI models. As a result, no community sentiment specific to GPT-4 Turbo can be derived from these threads.
No concrete praise, criticism, or use case patterns for GPT-4 Turbo are reflected in the available community content. Developers interested in community feedback may find more relevant discussions in OpenAI-focused subreddits such as r/ChatGPT or r/OpenAI.
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Documentation & links
Parameters & options
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