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o1
Summary
OpenAI's o1 trades speed for reasoning depth, letting the model think through hard problems before answering.
o1 is built around a single insight: some problems need deliberate, multi-step reasoning rather than pattern matching at scale. Before generating an answer, the model works through logic chains internally—visible to you—on math proofs, bug-heavy code, and scientific questions where a wrong answer is worse than a slow one. It costs roughly 2–3x more per token than GPT-4o and takes longer to respond, making it a specialist tool rather than a daily driver. The real catch is knowing when you actually need it; using o1 for a summarization task or casual question is like hiring a surgeon to tie your shoes.
Bottom line: *Use when correctness and transparent reasoning outweigh speed; skip for routine tasks or tight-deadline workflows.*
Pricing Plans
Per-tokenLast verified 2 months ago- Price
- $15/1M input tokens, $60/1M output tokens (API); also available via ChatGPT Plus ($20/mo)
- Cost per 1M Input
- $15.00
- Cost per 1M Output
- $60.00
- Free Tier
- Limited access via ChatGPT free tier with usage caps; full access requires ChatGPT Plus (0/mo) or API with per-token billing
o1
Access to o1 model with advanced reasoning capabilities, designed for complex problem-solving and research tasks.
- Access to o1 model
- Advanced reasoning and problem-solving
- Higher message limits than free tier
- Priority processing
- Suitable for research and complex analysis
- Monthly subscription
o1 Pro
Premium tier with unlimited access to o1 model, GPT-4, and other advanced features for power users and organizations.
- Unlimited o1 model access
- Access to all GPT models
- Highest priority processing
- Advanced analytics and usage insights
- Organizational collaboration features
- Designed for heavy users and teams
View full pricing on openai.com →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
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LLM Spec Sheet
Specializations
Benchmarks
Pricing & Limits
- Input price
- $15.00 / 1M tokens
- Output price
- $60.00 / 1M tokens
- Max output tokens
- 32768.0000
Metrics from legacy-discovery, updated .
Community Benchmarks Community
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Changelog
- — Input price first recorded at $15.00/1M · legacy-discovery
- — Output price first recorded at $60.00/1M · legacy-discovery
- — MMLU first recorded at 92.3% · legacy-discovery
- — HumanEval first recorded at 94.5% · legacy-discovery
- — GPQA first recorded at 96.5% · legacy-discovery
- — Max output first recorded at 32.8k tokens · legacy-discovery
Pros
Sign in to edit- Superior reasoning capability on complex problems
- State-of-the-art performance on STEM benchmarks
- Transparent reasoning process for verification
- Robust handling of multi-step logical inference
- Strong code generation and technical reasoning
Cons
Sign in to edit- Slower inference time than standard LLMs due to reasoning overhead
- Higher per-token cost reflects computational complexity
- Optimized for reasoning tasks; may be overkill for simple queries
Community Reviews
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About
- Platforms
- Web, API
- Languages
- Englishmultilingual support
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-04-08T13:00:40.152Z
Best For
Who it's for
- Research and academic applications
- Advanced coding tasks and algorithm design
- Scientific reasoning and data analysis
- Complex problem decomposition
- High-stakes accuracy requirements
What it does well
- Mathematical problem solving and proof verification
- Complex software engineering and code debugging
- Scientific research and hypothesis evaluation
- Logic puzzles and constraint satisfaction problems
- Advanced technical documentation analysis
Integrations
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Frequently Asked Questions
- Is o1 free?
- o1 is a paid tool ($15/1M input tokens, $60/1M output tokens (API); also available via ChatGPT Plus ($20/mo)). No permanent free tier is offered.
- Is o1 open source?
- No — o1 is a closed-source tool. Source code is not publicly available.
- Does o1 have an API?
- Yes. o1 exposes a developer API. See the official documentation at https://openai.com for details.
- What are the alternatives to o1?
- Common alternatives include <a href="https://aidiveforge.com/?s=Claude%203%20Opus&post_type=hp_listing">Claude 3 Opus</a>, <a href="https://aidiveforge.com/listing/chatgpt/">GPT-4</a>, <a href="https://aidiveforge.com/listing/codeep/">Gemini 2.0</a>. Compare them on AIDiveForge for pricing, features, and platform support.
- When was o1 released?
- o1 was first released in 2024.
- What platforms does o1 support?
- o1 is available on: Web, API.
Hours Saved & ROI Stories Community
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o1 represents a paradigm shift in LLM design, emphasizing deep reasoning and problem-solving over raw scale. Unlike traditional transformer models that generate responses token-by-token, o1 employs an internal reasoning process to work through problems methodically before generating an answer. This architecture enables superior performance on tasks requiring multi-step logic, mathematical proofs, and intricate code generation. The model demonstrates particularly strong capabilities in STEM domains, achieving top-tier results on benchmarks like AIME, GPQA, and coding challenges. o1 trades inference speed for accuracy, making it ideal for complex reasoning tasks where correctness is paramount. The model incorporates safety measures and constitutional AI principles in its reasoning process, ensuring outputs align with intended behaviors.