OpenAI o1-mini overview
OpenAI o1-mini specs
- Developer
- OpenAI
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
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
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
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
Use cases
- Instruction Following: Clear, structured answers to complex prompts
- Lightweight Coding Tasks: Script generation, bug fixing, basic transforms
- Chatbots: Efficient conversational models with fast response
- Education: Explanations of math, logic, and reasoning tasks
- Document Analysis: Short-to-mid context comprehension tasks
Capabilities
- Function calling
- Streaming
- Structured outputs
- Reasoning
OpenAI o1-mini benchmarks by 
Artificial Analysis
See how OpenAI o1-mini scores on independent evaluations. Data retrieved Nov 3, 2026.
Benchmark results
Compare 19 models available on AI/ML API across 5 independent benchmarks.
Humanity's Last Exam
Expert-written questions across academic subjects.
GPQA Diamond
Graduate-level science questions written to resist web search.
LiveCodeBench
Competitive programming problems published after training cutoffs.
MMLU-Pro
Multiple-choice knowledge and reasoning across 14 subjects.
MATH-500
Competition mathematics problems.
OpenAI o1-mini API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.315 | 1M tokens |
| Output | $1.26 | 1M tokens |
OpenAI o1-mini is unlisted on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
OpenAI o1-mini vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 OpenAI o1-mini | $0.315 | $1.26 |
| GPT-6 Luna | $0.1 | $0.5 |
| GPT-6.1 Terra | $1 | $5 |
| GPT-6.1 Sol | $2 | $10 |
| GPT-6.1 Terra Pro | $2.12 | $10.58 |
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OpenAI o1-mini FAQ
Does OpenAI o1-mini support streaming?
Yes, OpenAI o1-mini can stream responses as they are generated.
Does OpenAI o1-mini support tool calling and structured outputs?
Yes, OpenAI o1-mini supports both function calling and structured outputs.
Who created OpenAI o1-mini?
OpenAI o1-mini was built by OpenAI.
Does o1-mini support image or vision inputs?
No. The listed capabilities are function calling, streaming, structured outputs, and reasoning; vision is not included.
Can o1-mini be fine-tuned?
Fine-tuning is not among its listed capabilities, which are function calling, streaming, structured outputs, and reasoning.
Does o1-mini have reasoning capabilities?
Yes, reasoning is listed as one of its core capabilities.