GPT-5 Chat
GPT-5 model used in ChatGPT
OpenAI OpenAI's flagship model powering ChatGPT
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.
What GPT-5 Chat supports
Large Context Window
Processes up to 400,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversation histories.
Tool Use
Supports function calling and external tool integrations, allowing the model to invoke developer-defined tools during a conversation.
MCP Server Support
Accepts Model Context Protocol servers as inputs, enabling structured connections to external data sources and services within agentic pipelines.
Text Generation
Generates coherent, contextually accurate text across tasks including summarization, drafting, question answering, and instruction following.
Latest Snapshot Tracking
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.
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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 | 87.1% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 85.4% |
| MATH-500 | Undergraduate and competition-level math problems | 99.4% |
| AIME 2024 | American math olympiad problems | 95.7% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 84.6% |
| HLE | Questions that challenge frontier models across many domains | 26.5% |
| SciCode | Scientific research coding and numerical methods | 42.9% |
Common questions about GPT-5 Chat
What is the context window for GPT-5 Chat?
GPT-5 Chat supports a context window of 400,000 tokens, allowing very long inputs and conversation histories in a single request.
What is the training data cutoff for GPT-5 Chat?
The model's training data has a cutoff of September 2024, meaning it does not have knowledge of events that occurred after that date.
Does GPT-5 Chat support tool calling and MCP servers?
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.
Is GPT-5 Chat the same model used in ChatGPT?
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.
Who publishes GPT-5 Chat?
GPT-5 Chat is published by OpenAI and was added to the MindStudio model catalog on August 7, 2025.
What people think about GPT-5 Chat
Community discussions around GPT-5 are active, with users on r/ChatGPT and r/singularity engaging heavily with news about the model's capabilities and deployment details. A GitHub leak of GPT-5's model description generated significant attention shortly after the model's catalog addition in August 2025.
Some threads raise concerns about model routing behavior, with users and third-party engineers discussing whether requests are being directed to different model variants than expected. Questions about benchmarking methodology and OpenAI's operational practices have also surfaced in high-engagement threads.
Openai has been caught doing illegal
Lead Engineer of AIPRM confirms: the routing is intentional for both v4 and v5, and there’s not one, but two new models designed just for this
🚨 BREAKING: intern accidentally leaked GPT-5's model description on github.
So thanks to Sam there's an ******* benchmark now?!
GitHub leaks GPT-5 Details
Parameters & options
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