GPT-5
The best model for coding and agentic tasks across domains
OpenAI Flagship reasoning model for coding and agents
GPT-5 is OpenAI's flagship text generation model, designed with a focus on coding, reasoning, and agentic tasks across a wide range of domains. It supports a 400,000-token context window and has a training data cutoff of September 2024. The model is tagged for reasoning, tool use, and MCP (Model Context Protocol) support, reflecting its orientation toward complex, multi-step workflows.
GPT-5 is best suited for developers and teams building agentic applications, automated pipelines, and code-heavy workflows. It accepts tool definitions and MCP server configurations as inputs, making it well-suited for orchestration scenarios where the model needs to call external functions or services. It is available via the OpenAI API and accessible on MindStudio without requiring separate API key management.
What GPT-5 supports
Advanced Reasoning
Handles multi-step reasoning tasks across domains, including logic, analysis, and problem decomposition. Designed to maintain coherence across long chains of thought.
Code Generation
Generates, reviews, and debugs code across major programming languages. Optimized as a flagship model specifically for coding tasks.
Tool Use
Accepts structured tool definitions as input, enabling the model to call external functions and APIs during a conversation or agentic workflow.
MCP Server Support
Supports Model Context Protocol (MCP) server configurations as a native input type, allowing integration with MCP-compatible external services and data sources.
Large Context Window
Processes up to 400,000 tokens in a single context, enabling analysis of long documents, large codebases, or extended multi-turn conversations.
Agentic Task Execution
Designed for multi-step agentic workflows where the model plans, executes tool calls, and iterates toward a goal across multiple turns.
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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% |
| AIME 2025 | American math olympiad problems (2025) | 94.6% |
| SWE-bench Verified | Real GitHub issues requiring multi-file code fixes | 74.9% |
Common questions about GPT-5
What is the context window for GPT-5?
GPT-5 supports a context window of 400,000 tokens, allowing it to process large documents, long codebases, or extended conversations in a single request.
What is the training data cutoff for GPT-5?
GPT-5's training data has a cutoff of September 2024, meaning it does not have knowledge of events or information published after that date.
Does GPT-5 support tool calling and external integrations?
Yes. GPT-5 accepts tool definitions and MCP server configurations as inputs, making it suitable for agentic workflows that require calling external functions or services.
What types of tasks is GPT-5 designed for?
GPT-5 is designed for coding, reasoning, and agentic tasks. OpenAI describes it as their flagship model for these use cases across multiple domains.
How do I access GPT-5 on MindStudio?
GPT-5 is available directly in MindStudio's model catalog. You can use it without managing a separate OpenAI API key through the platform.
What people think about GPT-5
Community reception to GPT-5's launch was highly engaged, with thousands of upvotes and comments across multiple threads on r/ChatGPT, including a widely followed AMA with OpenAI's Sam Altman and the GPT-5 team. Users expressed significant interest in the model's coding and reasoning capabilities at release.
Some users raised concerns about whether the version deployed in ChatGPT matched the full API model, with one high-upvote thread questioning if a reduced variant was being served. A later thread noted the release of a GPT-5.2 update, suggesting ongoing iteration on the model after its initial launch.
GPT-5 AMA with OpenAI’s Sam Altman and some of the GPT-5 team
OpenAI just dropped the bomb, GPT-5 launches in a few hours.
BREAKING: OpenAi releases GPT 5.2
OpenAI is running some cheap knockoff version of GPT-5 in ChatGPT apparently
Parameters & options
Used to give the model guidance on how many reasoning tokens it should generate before creating a response to the prompt. Low will favor speed and economical token usage, and high will favor more complete reasoning at the cost of more tokens generated and slower responses. The default value is medium, which is a balance between speed and reasoning accuracy.
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