OpenAI o1-mini is a cost-efficient reasoning model optimized for STEM tasks (science, technology, engineering, and math), particularly excelling in mathematics and coding. It offers advanced reasoning capabilities at a fraction of the cost of its larger counterpart, o1-preview.
Key Features
Enhanced performance in STEM reasoning tasks
Cost-effective alternative to o1-preview (80% cheaper)
Improved speed compared to o1-preview
Strong capabilities in coding and mathematical problem-solving
Incorporates chain-of-thought reasoning
Intended Use
o1-mini is designed for applications requiring focused reasoning without extensive world knowledge, particularly in:
Complex code generation and analysis
Advanced mathematical problem-solving
Scientific research and data analysis
Educational tools for STEM subjects
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Language Support
While specific language support details are not explicitly mentioned, the model demonstrates strong performance across various languages, including low-resource languages.
Context Window
128,000 tokens
Max Output Tokens
65,536 tokens
Beta Limitations
During the beta phase, many chat completion API parameters are not yet available. Most notably:
Modalities: text only, images are not supported.
Message types: user and assistant messages only, system messages are not supported.
Streaming: not supported.
Tools: tools, function calling, and response format parameters are not supported.
Logprobs: not supported.
Other: temperature, top_p and n are fixed at 1, while presence_penalty and frequency_penalty are fixed at 0.
Assistants and Batch: these models are not supported in the Assistants API or Batch API.
Technical Details
Architecture
o1-mini utilizes a transformer-based architecture optimized for STEM reasoning. It employs large-scale reinforcement learning to perform chain-of-thought reasoning, similar to the o1-preview model but with a smaller parameter count.
Training Data
Data Source and Size: Trained on a vast dataset up to October 2023
Knowledge Cutoff: October 2023
Performance Metrics
Scored 70.0% on the AIME (American Invitational Mathematics Examination)
Achieved a 1650 Elo rating on Codeforces (86th percentile)
Excels in HumanEval coding and high-school cybersecurity challenges
Surpasses GPT-4o on some reasoning benchmarks like GPQA and MATH-500
Comparison to Other Models
Accuracy
Closely matches o1-preview performance on AIME and Codeforces
Outperforms GPT-4o on reasoning-heavy tasks in STEM domains
Less effective than GPT-4o in language-focused tasks and broad world knowledge
Speed
3-5 times faster than GPT-4o in reaching conclusions for complex reasoning tasks
Output speed: 73.9 tokens per second
Time to First Token (TTFT): 13.98 seconds
Robustness
Demonstrates 59% greater jailbreak resilience on the StrongREJECT dataset compared to GPT-4o
Handles diverse inputs well within its STEM specialization
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.
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