Activereasoningllm Proprietary

o1-mini

by OpenAI· Released September 2024· Cutoff October 2023

o1-mini is a smaller, faster, and more cost-efficient reasoning model from OpenAI, designed to excel at coding and STEM tasks. It uses chain-of-thought reasoning to solve complex problems while being significantly cheaper than the full o1 model. It is part of the o1 series, which emphasizes advanced reasoning capabilities.

Official Site API Docs

Input cost

$3.00 per 1M tokens

Output cost

$12.00 per 1M tokens

Context window

128K tokens

Max output

65536 tokens

Modalities

text

License

proprietary

Capabilities

ReasoningCode GenerationSTEM Problem SolvingChain-of-ThoughtFunction CallingStreamingJSON Mode

Best For

Cost-effective complex reasoning and coding tasks that require deep logical analysis.

Strengths

Excellent at coding and math problems
Much cheaper than o1-preview
Fast reasoning for a reasoning model
Strong performance on STEM benchmarks

Limitations

Not as broad knowledge as GPT-4o
May not be suitable for creative writing or general conversation
Slower than non-reasoning models like GPT-4o mini
Limited to text-only input (no vision)

Use Cases

Code debugging and optimization

Solving advanced math problems

Scientific reasoning and data analysis

Algorithmic problem solving

Generating complex code from natural language

STEM tutoring and explanations

Logic puzzles and riddles

Improvements Over Previous Model

First model in the o1-mini line, no direct predecessor; compared to GPT-4o, it offers superior reasoning at lower cost for STEM tasks
Significantly cheaper than o1-preview ($3 vs $15 input per 1M tokens)
Faster inference than o1-preview
Designed specifically for coding and math, outperforming GPT-4o on related benchmarks

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