GPT-5.1
GPT-5.1 is a text generation model from OpenAI with a 400,000 token context window and adjustable reasoning effort.
OpenAIFlagship reasoning model with extended context
GPT-5.1 is a large language model developed by OpenAI, released in November 2025. It supports text generation with a 400,000 token context window and a maximum response size of 128,000 tokens, placing it among OpenAI's flagship offerings. The model accepts image inputs alongside text and exposes a configurable reasoning effort setting, allowing users to tune how much computation the model applies to a given task.
GPT-5.1 is designed for complex tasks that benefit from extended context and deliberate reasoning, such as long-document analysis, multi-step problem solving, and agentic workflows. It supports tool use and MCP server integrations, making it suitable for building AI agents that interact with external systems. The model is available directly through MindStudio without requiring separate API key management.
What GPT-5.1 supports
Extended Context Window
Processes up to 400,000 tokens of input in a single request, enabling analysis of long documents, codebases, or conversation histories.
Adjustable Reasoning Effort
Exposes a reasoning effort selector that lets users control how much computation the model applies, balancing speed against depth of reasoning.
Image Understanding
Accepts image inputs alongside text prompts, supporting tasks like visual question answering and image-based document analysis.
Tool Use
Supports structured tool calling, allowing the model to invoke external functions or APIs as part of a multi-step workflow.
MCP Server Integration
Connects to Model Context Protocol servers, enabling agentic applications to access external data sources and services at runtime.
Large Response Output
Generates responses of up to 128,000 tokens, supporting long-form content generation, detailed reports, and extensive code output.
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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 | 87.0% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 87.3% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 86.8% |
| HLE | Questions that challenge frontier models across many domains | 26.5% |
| SciCode | Scientific research coding and numerical methods | 43.3% |
| SWE-bench Verified | Real GitHub issues requiring multi-file code fixes | 76.3% |
| AIME 2025 | American math olympiad problems (2025) | 94.0% |
Common questions about GPT-5.1
What is the context window size for GPT-5.1?
GPT-5.1 supports a context window of 400,000 tokens, meaning it can process up to that amount of combined input text, images, and conversation history in a single request.
What is the maximum response length?
The model can generate responses of up to 128,000 tokens in a single output, which is suitable for long-form documents, detailed code, or extended analysis.
Does GPT-5.1 support image inputs?
Yes, GPT-5.1 accepts image inputs alongside text, allowing it to analyze visual content as part of a prompt.
What does the reasoning effort setting do?
The reasoning effort input lets you select how much computational effort the model applies when generating a response. Lower effort may be faster, while higher effort allows the model to work through more complex problems more thoroughly.
Is pricing information available for GPT-5.1?
Pricing details are not published in the current metadata. You can check OpenAI's official pricing page or MindStudio's billing documentation for the most up-to-date cost information.
When was GPT-5.1 released?
GPT-5.1 was released in November 2025 and became available on MindStudio on November 17, 2025.
What people think about GPT-5.1
Community reception to GPT-5.1 has been generally positive, with early discussions noting its introduction as a significant release from OpenAI and interest in its reasoning capabilities spotted in source code ahead of launch.
Some threads highlight limitations in specific mathematical benchmarks, such as failing on IMO 2025 problems where other models succeeded, and broader conversations touch on OpenAI's business trajectory alongside the model's release.
🔴 OpenAI introduces GPT-5.1
Gemini 3 Pro solves IMO 2025 P6 with some prompting (no hints or tools involved). Doesn't look like training data contamination since GPT-5.1 High, OpenAI's unreleased internal model, and even AlphaEvolve all fail on it.
GPT-5.1 Thinking spotted in OpenAI source code 👀
OpenAI isn't making money...but come on
BREAKING: OpenAi releases GPT 5.2
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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