OpenAI o1-mini

OpenAI o1-mini Description

OpenAI o1-mini is a highly efficient STEM-focused reasoning model tailored for mathematics, coding, and scientific problem-solving. Designed as a cost-effective alternative to larger counterparts, it delivers robust chain-of-thought reasoning with faster response times and significantly reduced operational costs. o1-mini excels in complex code generation, advanced mathematical reasoning, and specialized STEM tasks, addressing the needs of research, education, and technical workflows.

Technical Specifications

• Transformer-based architecture optimized for large-scale STEM reasoning
• Reinforcement learning enhancements to support chain-of-thought problem solving
• Knowledge cutoff: October 2023
• Trained on diverse datasets up to October 2023
• 128K token context window with up to 65K tokens max output

Performance Benchmarks

• Scored 70.0% on the American Invitational Mathematics Examination (AIME)
• Attained 1650 Elo rating on Codeforces (86th percentile)
• Outperforms GPT-4o on GPQA and MATH-500 STEM reasoning benchmarks
• Demonstrates strong results in HumanEval coding and cybersecurity challenges

API Pricing

• Input tokens: $0.00315 per 1,000 tokens
• Output tokens: $0.0126 per 1,000 tokens
• Approximately 80% cheaper than the larger o1-preview model

Key Capabilities

• STEM Reasoning: High precision in math, coding, and scientific analysis through chain-of-thought methods
• Cost Efficiency: Delivers advanced reasoning power with significantly reduced compute expenses
• Speed: 3 to 5 times faster in complex reasoning tasks compared to GPT-4o, with 73.9 tokens/sec output speed
• Coding Expertise: Generates, analyzes, and debugs advanced code reliably across multiple languages
• Robustness: Demonstrates improved jailbreak resistance on strong adversarial datasets

Optimal Use Cases

• Complex software development and technical code debugging
• Advanced STEM education tools and learning platforms
• Scientific data analysis and mathematical research
• Cost-sensitive deployments requiring focused reasoning accuracy without broad world knowledge

Code Sample

Comparison with Other Models

• vs OpenAI o1-preview: Matches core STEM reasoning accuracy while being 80% more cost-effective and faster
• vs GPT-4o: Outperforms in specialized STEM reasoning and speed but less effective in broad language tasks

API Documentation

For detailed API documentation, visit: https://docs.aimlapi.com/quickstart/setting-up

Reasoning models https://platform.openai.com/docs/guides/reasoning

Ethical Guidelines

• Trained using the same alignment and safety techniques as o1-preview
• Undergone comprehensive testing, red-teaming, and collaboration with U.S. and U.K. AI Safety Institutes
• Designed to adhere to ethical guidelines and safety protocols embedded in its reasoning process

Price

OpenAI o1-mini is available through AI/ML API services. Pricing is set at $0.0031500 per 1K input tokens and $0.0126 per 1K output tokens, making it 80% cheaper than o1-preview.