Activereasoningllm Proprietary

o3-mini

by OpenAI· Released January 2025· Cutoff October 2023

o3-mini is a cost-efficient reasoning model by OpenAI that excels in STEM tasks, particularly coding and mathematics. It offers adjustable reasoning effort (low, medium, high) to balance speed and accuracy, making it a faster and cheaper alternative to o1-mini while maintaining strong performance. It supports function calling, structured outputs, and developer messages.

Official Site API Docs

Input cost

$1.10 per 1M tokens

Output cost

$4.40 per 1M tokens

Context window

200K tokens

Max output

100K tokens

Modalities

text

License

proprietary

Capabilities

ReasoningCode GenerationFunction CallingStructured OutputsStreamingDeveloper Messages

Best For

Cost-effective reasoning and coding tasks requiring high accuracy with adjustable speed.

Strengths

Excellent performance on STEM and coding benchmarks
Adjustable reasoning effort for latency/accuracy trade-off
Significantly cheaper than o1-mini and o1-preview
Supports function calling and structured outputs

Limitations

No vision or image input support
Not suitable for creative writing or open-ended tasks
Reasoning effort tuning requires experimentation
May be slower than non-reasoning models like GPT-4o

Use Cases

Code generation and debugging

Mathematical problem solving

Data analysis and scientific reasoning

API integration with function calling

Automated reasoning in workflows

STEM tutoring and explanation

Structured data extraction

Improvements Over Previous Model

~63% lower input pricing compared to o1-mini ($1.10 vs $3.00 per 1M tokens)
~75% lower output pricing compared to o1-mini ($4.40 vs $15.00 per 1M tokens)
Adjustable reasoning effort (low, medium, high) for flexible speed/accuracy trade-off
Supports developer messages for system-level instructions
Improved performance on coding benchmarks (e.g., Codeforces rating ~2000 vs o1-mini ~1800)
Faster response times at low reasoning effort compared to o1-mini

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