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GPT-5: Intelligent Reasoning for Coding and Agents
Released on August 7, 2025 as part of the GPT-5 lineup, GPT-5 sits alongside GPT-5 mini and GPT-5 nano as the family's core reasoning-focused model.
Designed for coding, reasoning, and agentic tasks across domains, it offers configurable reasoning effort and built-in thinking to deliver expert-level intelligence with consistent reliability. These capabilities make it a strong fit for development workflows, cross-domain problem solving, and sophisticated agent-driven automation.
GPT-5: Key Specs
Below are GPT-5's main specs and how they translate into real-world behavior.
- Context Window - Up to 400,000 tokens: This broad context capacity allows the model to keep track of long conversations or sizable documents, helping it stay consistent across extended tasks.
- Maximum Output Length - Up to 128,000 tokens: It can generate long, continuous responses, making it useful for producing detailed explanations, structured reports, or other extended content without interruption.
- Speed and Efficiency - Medium-level responsiveness: The model provides steady, reliable speed that keeps interactions smooth, offering a balanced experience for most real-time and workflow-based applications.
- Cost Efficiency - Mid-range pricing: Its cost structure makes it suitable for teams that need dependable quality without moving into premium-tier spending, offering a practical balance between performance and budget.
- Reasoning and Accuracy - Higher-level reasoning performance: It handles layered logic, complex instructions, and analytical tasks with solid reliability, delivering more depth than baseline models.
- Multimodal Capabilities - Accepts text and images for input, outputs text: It can interpret visual and written information together, allowing you to combine screenshots, diagrams, or text prompts into a single, coherent response.
Compare GPT-5, GPT-5 mini, and GPT-5 nano
A brief overview of how each model differs in power, speed, and use cases.
| Feature | GPT-5 | GPT-5 mini | GPT-5 nano |
|---|---|---|---|
| Knowledge Cutoff | Sep 30, 2024 | May 31, 2024 | May 31, 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) | 7.10s | 4.84s | 2.98s |
| Speed | Medium (mid-tier in the GPT-5 series) | Faster than GPT-5 | Very Fast (faster than GPT-5 mini) |
| Input / Output Cost per 1M Tokens | $1.25 / $10 | $0.25 / $2 | $0.05 / $0.40 |
| Reasoning Performance | Very High | High | Average |
| Coding Performance (on SWE-bench Verified) | 74.90% | 59.80% | 54.60% |
| Best For | coding, reasoning, and agentic tasks across domains | well-defined and lighter-weight reasoning tasks | summarization and classification tasks |
Source: OpenAI GPT-5 Documentation
Best Cases to Use GPT-5
GPT-5 is best for offering dependable logic and strong execution.
- For students and learners: Use GPT-5 to break down challenging topics, follow detailed reasoning steps, and build a stronger understanding of technical or analytical subjects through structured explanations.
- For developers: Generate, refine, and debug code with reliable reasoning support that helps tackle complex logic, multi-step flows, and cross-domain programming challenges more efficiently.
- For businesses and teams: Create accurate summaries, structured analyses, and operational insights that help streamline decision-making and keep internal processes running smoothly.
- For product teams and app builders: Design agents that complete multi-step tasks, adapt to user context, and support advanced features that make products smarter and more capable.
- For operations and support workflows: Solve layered issues, manage step-by-step procedures, and provide consistent resolutions that improve support reliability and reduce manual effort.
- For content and marketing helpers: Turn technical ideas into clear messaging, refine drafts with logical structure, and generate accurate content that supports campaigns and product communication.
How to Access GPT-5
Accessing GPT-5 is straightforward, and you can choose whichever method aligns with your workflow.
1. OpenAI API
GPT-5 is available via the OpenAI API. With an API key and billing plan, developers can integrate the model into complex systems, applications, or automated pipelines.
2. EssayDone AI Chat
For quick, zero-setup access, GPT-5 is available in EssayDone AI Chat.
It offers the same underlying model output in a clean, easy interface ideal for writing, research, and everyday productivity.
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FAQ
Here are some frequently asked questions about GPT-5.
Yes. GPT-5 provides higher-than-average reasoning performance, with a reasoning level roughly aligned with a rating of 4. It handles complex logic, structured problem-solving, and multi-step tasks effectively.
GPT-5 costs $1.25 per 1M input tokens and $10 per 1M output tokens. It sits in the mid-to-upper pricing tier within the GPT-5 family.
GPT-5 is optimized for coding, reasoning-heavy work, and agentic tasks that require planning, analysis, and adaptable execution. It performs well across multiple domains where structured thinking and accuracy matter.
GPT-5 accepts text and image inputs and produces text outputs. It handles multimodal tasks reliably, offering solid performance for general text-and-image workflows, though it does not output images or audio.
GPT-5 offers significantly stronger reasoning and multimodal depth than both mini and nano. GPT-5 mini provides lighter, more affordable reasoning, while GPT-5 nano focuses on speed and cost efficiency with limited reasoning.
Using GPT-5 in EssayDone AI Chat requires no API key, has no daily message limits, and comes with no geographical restrictions. You can access ChatGPT and many other AI models in one place with a single payment, at a more affordable price.