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OpenAI o1-mini

OpenAI o1-mini

Advancing cost-efficient reasoning.

OpenAI o1-mini

About

OpenAI o1‑mini is a cost-efficient model designed to excel in STEM reasoning tasks, such as mathematics and coding, while maintaining competitive performance against larger models like the OpenAI o1 and others. It is optimized for specialized reasoning without extensive world knowledge, resulting in faster and more economical computations. Despite its cost-effectiveness, o1‑mini achieves near comparable scores to larger models on benchmarks like AIME and Codeforces. It serves as an alternative to OpenAI o1-preview, particularly for ChatGPT Plus, Team, Enterprise, and Edu users who benefit from its higher rate limits and reduced latency. The o1‑mini model is built on a high-compute reinforcement learning pipeline focused on STEM tasks, yielding significant improvements in reasoning proficiency at a reduced computational expense. While o1‑mini offers superior STEM performance, it trails in non-STEM factual knowledge, which is addressed in its limitations, but its tailored focus makes it ideal for specialized applications.

Competitive Advantage

High cost-efficiency and superior performance in targeted STEM tasks compared to larger models.

Use Cases

STEM education
Coding competitions
Scientific research
Data analysis
Mathematical modeling

Pros

  • High cost-efficiency in computations
  • Strong performance in STEM-related benchmarks
  • Reduced latency for user interactions
  • Tailored for specialized reasoning tasks

Cons

  • Limited knowledge outside STEM
  • Falls behind in non-STEM factual tasks
  • Initial priority for STEM-focused areas
  • May require future iteration for broader knowledge

Tags

STEM reasoningCost-efficientMathematicsCodingBenchmarks

Pricing

Paid

Features and Benefits

STEM Optimization

Designed specifically for high-performance in STEM tasks like mathematics and coding, leveraging specialized training techniques.

5/5 uniqueness

Cost Efficiency

Offers a cheaper alternative with up to 80% cost reduction compared to similar models, enhancing access to fast computations.

4/5 uniqueness

Benchmark Competitiveness

Holds competitive standing in benchmarks such as AIME and Codeforces, proving effectiveness in real-world STEM applications.

4/5 uniqueness

Higher Rate Limits

Higher rate limits available for selected users, ensuring faster task processing and user interaction.

3/5 uniqueness

Reinforcement Learning Pipeline

Utilizes a comprehensive high-compute reinforcement learning pipeline focused on honing reasoning skills efficiently.

4/5 uniqueness

Target Audience

Tier 5 API users and technical professionals seeking economical STEM capabilities

Frequently Asked Questions

It is a cost-efficient reasoning model optimized for STEM, excelling in mathematical and coding tasks.

o1-mini achieves competitive scores, such as 70% in the AIME math competition, outperforming some larger models.

Yes, particularly for data analysts and software engineers engaged in STEM reasoning tasks.

Its approach and knowledge are primarily tailored for STEM, offering less competence in non-STEM factual knowledge.

Users of ChatGPT Plus, Team, Enterprise, and Edu who need fast, economical STEM reasoning capabilities.

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