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GPT-5.2: Advanced Frontier Model for Professional Agents
Released on December 11, 2025, as part of the GPT-5 lineup, GPT-5.2 sits alongside GPT-5 as a flagship model built for demanding, long-running workloads.
It is designed for professional and enterprise use, with a strong focus on agentic behavior, high-quality reasoning, and robust coding capabilities across industries. Compared with lighter models in the family, GPT-5.2 emphasizes depth, reliability, and sustained performance, making it well suited for coding assistants, autonomous or long-running agents, complex analysis workflows, and enterprise automation.
GPT-5.2: Key Specs
Below are GPT-5.2's main specs and how they translate into real-world behavior.
- Context Window - Up to 400,000 tokens: This very large context window lets the model keep extensive conversations, long documents, or multiple data sources in memory at once, making it reliable for complex analysis, long-running agents, and professional workflows that depend on full context.
- Maximum Output Length - Up to 128,000 tokens: This allows the model to generate extremely long responses in a single pass, such as detailed reports, multi-file code outputs, or in-depth reasoning chains, without being cut off.
- Speed and Efficiency — Medium performance with about 2.5-second latency: Responses are not instant, but the model is tuned for stability and depth rather than raw speed, which suits complex tasks where accuracy and completeness matter more than immediate replies.
- Cost Efficiency — Premium pricing at $1.75 input and $14 output per million tokens: This higher cost reflects its flagship positioning and makes it best suited for high-value tasks where advanced reasoning and reliability justify the spend.
- Reasoning and Accuracy — Highest level of reasoning quality: The model is optimized for complex problem-solving, precise instruction following, and dependable results, which is especially important for coding, analysis, and autonomous agent workflows.
- Multimodal Capabilities — Supports text and image input with text output: It can understand both written content and images together, enabling use cases like visual analysis, document review, and image-informed reasoning, while delivering clear text-based responses.
Compare GPT-5.2, GPT-5, and GPT-5.1
A brief overview of how each model differs in power, speed, and use cases.
| Feature | GPT-5.2 | GPT-5 | GPT-5.1 |
|---|---|---|---|
| Knowledge Cutoff | Aug 31, 2025 | Sep 30, 2024 | Sep 30, 2024 |
| Context Window (Tokens) | 400,000 | 400,000 | 400,000 |
| Max Output Tokens | 128,000 | 128,000 | 128,000 |
| Input Modalities | Text, image | Text, image | Text, image |
| Output Modalities | Text | Text | Text |
| Latency (OpenRouter Data) | 2.48s | 7.10s | 3.80s |
| Speed | Medium | Medium (mid-tier in the GPT-5 series) | Very Fast (noticeably faster than GPT-5) |
| Input / Output Cost per 1M Tokens | $1.75 / $14.00 | $1.25 / $10 | $1.25 / $10.00 |
| Reasoning Performance | Highest | Very High | Very High |
| Coding Performance (on SWE-bench Verified) | 80% | 74.90% | 76.30% |
| Best For | coding and agentic tasks across industries | coding, reasoning, and agentic tasks across domains | coding and agentic tasks with configurable reasoning and non-reasoning effort |
Source: OpenAI GPT-5.2 Documentation
Best Cases to Use GPT-5.2
GPT-5.2 is best suited for complex, high-value work that requires strong reasoning, sustained context, and reliable execution over time. It delivers the best results when you give it clear goals, detailed instructions, and well-defined constraints.
- For research and analysis teams: Analyze large collections of documents, synthesize findings across sources, and produce structured insights or reports that require deep context and careful reasoning over long inputs.
- For developers: Build advanced coding assistants that handle large codebases, generate multi-file solutions, review pull requests, and reason through complex bugs without losing context.
- For businesses and teams: Automate complex workflows such as data analysis, internal research, and decision support where accuracy, traceability, and long-running reasoning matter more than speed.
- For product teams and app builders: Power autonomous or semi-autonomous agents that plan steps, call tools, track state, and complete multi-stage tasks across user sessions.
- For operations and support workflows: Create intelligent agents that understand long histories, follow detailed policies, and resolve edge cases without repeatedly escalating to human operators.
- For technical leads and architects: Use the model to evaluate system designs, compare architectural options, and generate detailed technical documentation aligned with real-world constraints.
How to Access GPT-5.2
Accessing GPT-5.2 is straightforward, and you can choose the option that best fits your workflow, whether you prefer direct integration or an easy-to-use chat interface.
1. OpenAI API
You can access GPT-5.2 directly through the official OpenAI API. This requires an API key and an appropriate usage or billing plan, and it’s ideal for developers who want full control when integrating the model into applications, tools, or automated agent workflows.
2. EssayDone AI Chat
If you want instant access without setup, regional limitations, or API configuration, you can use GPT-5.2 through EssayDone AI Chat.
It provides the same underlying model output as the official API, delivered in a simple, user-friendly interface, making it ideal for students, writers, and professionals who want to start using the model right away.
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FAQ
Here are some frequently asked questions about GPT-5.2.
Yes. GPT-5.2 offers the highest level of reasoning capability in its family, making it well suited for complex, multi-step tasks. It is designed for professional-grade inference rather than lightweight or casual use.
GPT-5.2 costs $1.75 per 1M input tokens and $14 per 1M output tokens. It is positioned as a premium model, reflecting its advanced reasoning and agentic capabilities.
GPT-5.2 is optimized for coding and agentic tasks across industries. It works especially well for building software, creating spreadsheets and presentations, using tools, and managing complex, multi-step projects with long context.
GPT-5.2 accepts text and image inputs and produces text outputs. It handles image-based understanding and long-context reasoning well, but it does not generate images or other non-text outputs.
GPT-5.2 builds on GPT-5 and GPT-5.1 with stronger reasoning, better long-context handling, and improved support for agentic workflows. It is more capable but also more expensive, targeting higher-value professional use cases.
Using GPT-5.2 in EssayDone AI Chat requires no API key, has no daily message limits, and is available with no geographical restrictions. You can access ChatGPT and many other AI models on one platform with a single payment, at a more affordable price.