OpenAI o3-mini
Next-generation cost-efficient reasoning model optimized for STEM, competitive math, and coding.
200k
Tokens
100k
Output limit
Reinforcement Learning Reasoning Model
Model family
Not Disclosed
Total / Active
$1.10
Per 1M tokens
$4.40
Per 1M tokens
Model Overview
OpenAI o3-mini delivers frontier-class reasoning performance matching or exceeding o1-preview on coding and math while operating at 90% lower pricing. Supports adjustable reasoning effort (`low`, `medium`, `high`), tool calling, structured outputs, and developer message control.
Developer Implementation Notes
Supports reasoning effort parameter. High reasoning effort scores 87.3% on AIME 2024 at just $1.10/$4.40 per MTok.
Key Strengths
- Exceptional cost-to-reasoning ratio ($1.10 / $4.40 per MTok)
- 87.3% on AIME 2024 (high effort)
- Full support for tool calling, structured output, and developer messages
- Fast time-to-first-token in low/medium reasoning modes
Limitations & Boundaries
- Text-only model; vision inputs are not supported
- Reasoning token usage consumes output token budget
Capabilities & Modalities
Best Production Use Cases
- Competitive math & algorithmic coding pipelines
- Automated code review & unit test synthesis
- High-complexity agent reasoning steps at affordable cost
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
87.3%
Pass@1 with high reasoning effort (13.1/15 problems solved)
90.1%
Tool-calling evaluation with reasoning effort enabled
Pricing & Inference Cost Calculator
Token Cost Estimator – OpenAI o3-mini
Calculate projected inference spend with prompt caching
Quick Workload Presets
$2.2000
2.00M input tokens
$2.2000
0.50M output tokens
$4.40
Avg: $0.00440 / req
Compare with Similar Models
Claude 3.7 Sonnet
Anthropic's first hybrid reasoning frontier model with dynamic thinking budget control and state-of-the-art coding capabilities.
Gemini 2.0 Pro (Experimental)
Google's flagship intelligence model engineered for complex coding, mathematical proofs, and 2M token context.
Gemini 2.0 Flash
Google's high-speed multimodal workhorse with 1M token context, native tool use, and real-time audio/video streaming.
Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.