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OpenAI o1: Thoughtful, Reinforcement-Trained Reasoning
Released on December 17, 2024 as part of the OpenAI o1 lineup, OpenAI o1 sits alongside OpenAI o1 mini and is positioned as a model that deliberately spends more time thinking before responding.
Trained with reinforcement learning to handle complex reasoning, it excels in math, science, programming, and other STEM-related tasks that benefit from careful, step-by-step analysis. These strengths make it a strong choice for solving technical problems, generating detailed explanations, and supporting workflows that require deeper cognitive processing.
OpenAI o1: Key Specs
Below are OpenAI o1's main specs and how they translate into real-world behavior.
- Context Window - Up to 200,000 tokens: This extensive context capacity allows OpenAI o1 to manage long conversations or large documents while maintaining coherence across detailed, multi-step tasks.
- Maximum Output Length - Up to 100,000 tokens: The model can generate long, uninterrupted outputs, supporting in-depth explanations, complex write-ups, and multi-section content without cutting off early.
- Speed and Efficiency - Significantly slower performance: OpenAI o1 responds at a noticeably more deliberate pace, making it better suited for scenarios where careful reasoning matters more than rapid interaction.
- Cost Efficiency - Premium pricing at $15 / $60 per 1M tokens: This unusually high cost reflects the model's focus on specialized, high-value workloads, where top-tier stability and reliability justify the investment.
- Reasoning and Accuracy - Higher-level reasoning capability: The model handles complex instructions and analytical tasks with strong clarity, offering deeper insight and more dependable logic than standard-tier options.
- Multimodal Capabilities - Supports text and image input, outputs text: It can interpret visual content alongside written prompts, enabling workflows that involve screenshots, diagrams, or other mixed media converted into clear text responses.
Compare OpenAI o1, OpenAI o1-mini, and OpenAI o3-mini
A brief overview of how each model differs in power, speed, and use cases.
| Feature | OpenAI o1 | OpenAI o1-mini | OpenAI o3-mini |
|---|---|---|---|
| Knowledge Cutoff | Oct 01, 2023 | Oct 01, 2023 | Oct 01, 2023 |
| Context Window (Tokens) | 200,000 | 128,000 | 200,000 |
| Max Output Tokens | 100,000 | 65,536 | 100,000 |
| Input Modalities | Text, image | Text | Text |
| Output Modalities | Text | Text | Text |
| Latency (OpenRouter Data) | 26.49s | 9s | 6.74s |
| Speed | Slowest in OpenAI o-series | Slow (still faster than OpenAI o1) | Medium (about 1/3 faster than OpenAI o1-mini) |
| Input / Output Cost per 1M Tokens | $15 / $60 | $1.1 / $4.4 | $1.1 / $4.4 |
| Reasoning Performance | Very High | High | Very High |
| Coding Performance (on SWE-bench Verified) | 48.90% | 30.80% | 49.30% |
| Best For | math, science, programming, and other STEM-related tasks | spending more time thinking before responding to complex tasks | STEM reasoning tasks, particularly excelling in science, mathematics, and coding |
Source: OpenAI o1 Documentation
Best Cases to Use OpenAI o1
OpenAI o1 is best for step-by-step reasoning for complex problems.
- For students and learners: Use OpenAI o1 to work through detailed math and science problems, gaining clearer understanding through slow, deliberate reasoning that strengthens comprehension of challenging topics.
- For developers: Analyze complex algorithms, debug intricate logic, and refine code with a reasoning-focused model that considers edge cases carefully before producing solutions.
- For businesses and teams: Interpret technical data, generate accurate analyses, and clarify STEM-heavy content that supports better decision-making on engineering or research-driven projects.
- For product teams and app builders: Build agents that handle structured calculations, scientific logic, or programming workflows, ensuring reliable outcomes for technical product features.
- For operations and support workflows: Troubleshoot nuanced technical issues, interpret system outputs, and provide detailed guidance that improves accuracy and reduces escalation in STEM-oriented support.
- For content and marketing helpers: Communicate complex STEM concepts clearly by turning dense or technical material into accessible explanations for broader audiences.
How to Access OpenAI o1
Accessing OpenAI o1 is straightforward, and you can choose the method that best fits your workflow.
1. OpenAI API
You can use OpenAI o1 directly through the official OpenAI API. This requires an API key and an active usage or billing plan, making it a great option for developers who want full control or need to integrate the model into apps, tools, or automated systems.
2. EssayDone AI Chat
For instant access without setup, region limits, or API configuration, you can use OpenAI o1 through EssayDone AI Chat.
It provides the same underlying model output as the API but in a simple, user-friendly interface-perfect for students, writers, and professionals who want to start using the model immediately.
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FAQ
Here are some frequently asked questions about OpenAI o1.
Yes. OpenAI o1 provides higher-than-average reasoning ability, roughly aligned with a rating of 4. It is well suited for structured problem-solving, analytical tasks, and STEM-heavy reasoning.
OpenAI o1 costs $15 per 1M input tokens and $60 per 1M output tokens. It is one of the higher-priced models in the OpenAI o-series, reflecting its strong reasoning and STEM capabilities.
OpenAI o1 is optimized for math, science, programming, and other STEM-related tasks that require precise reasoning and step-by-step logic. It is ideal for users who need reliable analytical performance.
OpenAI o1 accepts text and image inputs and produces text outputs. It can interpret images at a functional level, though it is primarily designed for text-based reasoning rather than advanced visual analysis.
OpenAI o1 offers deeper reasoning, higher accuracy, and stronger STEM performance compared to OpenAI o1-mini. The Mini version is more affordable and faster, but OpenAI o1 is the better choice for complex analytical or technical tasks.
Using OpenAI o1 in EssayDone AI Chat requires no API key, has no daily message limits, and includes no geographical restrictions. You can access ChatGPT and many other AI models on a single platform with one payment, at a more affordable price.