Advanced Reasoning
Handles multi-step reasoning tasks across domains, including logic, analysis, and problem decomposition. Designed to maintain coherence across long chains of thought.
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.
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.
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.
Handles multi-step reasoning tasks across domains, including logic, analysis, and problem decomposition. Designed to maintain coherence across long chains of thought.
Generates, reviews, and debugs code across major programming languages. Optimized as a flagship model specifically for coding tasks.
Accepts structured tool definitions as input, enabling the model to call external functions and APIs during a conversation or agentic workflow.
Supports Model Context Protocol (MCP) server configurations as a native input type, allowing integration with MCP-compatible external services and data sources.
Processes up to 400,000 tokens in a single context, enabling analysis of long documents, large codebases, or extended multi-turn conversations.
Designed for multi-step agentic workflows where the model plans, executes tool calls, and iterates toward a goal across multiple turns.
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.
The configurable options currently documented for this model.
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.
Parameters currently listed by OpenRouter or the local catalog for this model.
Benchmark scores synced from the current model source and normalized into the local catalog.
| Benchmark | Score |
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AIME 2024
American math olympiad problems
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AIME 2025
American math olympiad problems (2025)
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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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SWE-bench Verified
Real GitHub issues requiring multi-file code fixes
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Official model cards, release notes, docs, and other references synced from the source page.
GPT-5 discussions are most active in r/ChatGPT, r/OpenAI, r/singularity. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions, coding workflow discussions.
The strongest match in this snapshot has 27737 upvotes and 485 comments.
This is disgusting manipulative AI, I have not used ChatGPT in months, I come back to see if things are changed, I get rerouted for asking about a YouTube video I watched on history of western esoteric movements. I have my personality set with memories and this fucker breaks tone and tells me to breathe when I call it out??? What the FUCK?
When we released ProgramBench last week, we hadn't included GPT 5.5 yet because it came out after we frozen model selections for our NeurIPS submission. Honestly super surprised how well it does. It solved the first task and significantly outperformed Opus 4.7. We wrote about this more in our blog post: [https://programbench.com/blog/gpt-5-5-first-solve/](https://programbench.com/blog/gpt-5-5-first-solve/)
One of the fascinating things is also that it requires so few agent steps, because it bundles its actions so much (i.e., combines a lot of commands with \`&&\`), which is more token-efficient.
I’m on ChatGPT Plus. Since May 8/9, ChatGPT web appears to route me to GPT-5 mini even when I manually select “Latest • 5.5 → Thinking”.
The UI still shows Thinking selected and does not show any usage-limit warning, but the assistant replies:
“I’m currently running on GPT-5 mini, so I cannot use GPT-5.5 Thinking.”
What makes it stranger:
- Web keeps giving me GPT-5 mini.
- Android mobile currently responds as GPT-5.5 Thinking.
- Yesterday mobile worked briefly too, then later started responding as mini.
- I tried Edge, other browsers, incognito, Windows app, Android app, sign out/in, “Log out all”, waiting, and brand-new chats.
- It has persisted across overnight gaps, so a simple 3-hour cap fallback doesn’t seem to explain it.
- As far as I understand, GPT-5.5 Instant should be unlimited or almost unlimited for my subscription tier, so being silently routed to mini even outside Thinking is especially confusing.
- OpenAI support escalated it, but I’m still waiting for a specialist response.
Has anyone else seen web and mobile route to different models despite the same manually selected model?
I'm too lazy to update the skills, so I asked it. It doesn't use the `findskills` skill. It checks out the skill repo and merges it with my repo.
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.
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.
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.
GPT-5 is designed for coding, reasoning, and agentic tasks. OpenAI describes it as their flagship model for these use cases across multiple domains.
GPT-5 is available directly in MindStudio's model catalog. You can use it without managing a separate OpenAI API key through the platform.
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