Fast Text Generation
Generates text responses at faster speeds than the base GPT-4 model, making it suitable for real-time and interactive applications.
OpenAI
GPT-4 Turbo
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.
Apr 09, 2024
128,000 context
4,096 tokens output
Fast Text Generation
Large Context Window
Natural Language Understanding
Code Generation
Instruction Following
Multi-turn Dialogue
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
OpenAI
Model ID
The routed model identifier exposed by upstream providers.
openai/gpt-4-turbo
Input Context Window
The number of tokens supported by the input context window.
128,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
4,096 tokens
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Apr 09, 2024
2 years ago
Knowledge Cut-off Date
When the model's knowledge was last updated.
December 2023
API Providers
The providers that offer this model. This is not an exhaustive list.
OpenAI
Modalities
Types of data this model can process.
Text
Image
Code
What is GPT-4 Turbo
A fuller summary of positioning, capabilities, and source-specific details for GPT-4 Turbo.
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.
Capabilities
What GPT-4 Turbo supports
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.
Pricing for GPT-4 Turbo
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
$10.00
Per million tokens
Output tokens
$30.00
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
2
maxResponseSize
4,096 tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
OpenAI
Provider Endpoints
Endpoint-level provider data currently available for this model.
OpenAI
Model Performance
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
|---|---|
|
AIME 2024
American math olympiad problems
|
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HLE
Questions that challenge frontier models across many domains
|
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LiveCodeBench
Real-world coding tasks from recent competitions
|
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MATH-500
Undergraduate and competition-level math problems
|
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MMLU-Pro
Expert knowledge across 14 academic disciplines
|
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SciCode
Scientific research coding and numerical methods
|
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Official Product Page
Announcements
→
OpenAI: What is GPT-4 Turbo$1
Documentation
→
OpenAI API Documentation
Documentation
→
OpenAI API Playground
Playground
→
GPT-4 Technical Report
Research
→
Official Website
→
Usage Policies
→
Enterprise privacy at OpenAI
→
OpenAI Status Page
→
OpenRouter Model Page
OpenRouter
→
Community discussion
What people think about GPT-4 Turbo
GPT-4 Turbo discussions are most active in r/singularity, r/OpenAI, r/ChatGPT. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions.
The strongest match in this snapshot has 3463 upvotes and 389 comments.
https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard
FAQ
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.
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