Large Context Window
Processes up to 400,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories.
GPT-5 Chat is a text generation model developed by OpenAI and serves as the snapshot of GPT-5 currently deployed in ChatGPT. It has a 400,000-token context window and a training data cutoff of September 2024. The model supports tool use and MCP (Model Context Protocol) servers as input types, making it suitable for agentic workflows and integrations. GPT-5 Chat is designed for high-intelligence tasks that benefit from a large context window, such as long-document analysis, multi-step reasoning, and complex instruction following. Its support for tools and MCP servers means it can be connected to external services and data sources within automated pipelines. Developers accessing it via the API receive the same model version that powers the ChatGPT interface, keeping behavior consistent across both surfaces.
High-signal model metadata in a structured two-column overview table.
The entity that provides this model.
The routed model identifier exposed by upstream providers.
The number of tokens supported by the input context window.
The number of tokens that can be generated by the model in a single request.
Whether the model's code is available for public use.
When the model was first released.
When the model's knowledge was last updated.
The providers that offer this model. This is not an exhaustive list.
Types of data this model can process.
A fuller summary of positioning, capabilities, and source-specific details for GPT-5 Chat.
GPT-5 Chat is a text generation model developed by OpenAI and serves as the snapshot of GPT-5 currently deployed in ChatGPT. It has a 400,000-token context window and a training data cutoff of September 2024. The model supports tool use and MCP (Model Context Protocol) servers as input types, making it suitable for agentic workflows and integrations.
GPT-5 Chat is designed for high-intelligence tasks that benefit from a large context window, such as long-document analysis, multi-step reasoning, and complex instruction following. Its support for tools and MCP servers means it can be connected to external services and data sources within automated pipelines. Developers accessing it via the API receive the same model version that powers the ChatGPT interface, keeping behavior consistent across both surfaces.
Processes up to 400,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories.
Supports function calling and external tool integrations, allowing the model to invoke developer-defined tools during a conversation.
Accepts Model Context Protocol servers as inputs, enabling structured connections to external data sources and services within agentic pipelines.
Generates coherent, contextually accurate text across tasks including summarization, drafting, question answering, and instruction following.
The gpt-5-chat identifier always points to the GPT-5 snapshot currently active in ChatGPT, so API responses reflect the same model version as the consumer product.
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Additional usage-cost dimensions synced into the project for this model.
Places where this model is available, based on the synced detail-page metadata.
Endpoint-level provider data currently available for this model.
Benchmark scores synced from the current model source and normalized into the local catalog.
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AIME 2024
American math olympiad problems
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GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
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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
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Official model cards, release notes, docs, and other references synced from the source page.
GPT-5 Chat supports a context window of 400,000 tokens, allowing very long inputs and conversation histories in a single request.
The model's training data has a cutoff of September 2024, meaning it does not have knowledge of events that occurred after that date.
Yes. GPT-5 Chat supports both tool use (function calling) and Model Context Protocol (MCP) servers as input types, making it suitable for agentic and integration-heavy workflows.
Yes. The gpt-5-chat model ID points to the GPT-5 snapshot that OpenAI currently uses in ChatGPT, so API behavior mirrors the consumer product.
GPT-5 Chat is published by OpenAI and was added to the MindStudio model catalog on August 7, 2025.
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