GPT-o3 Mini
The hyper-fast "STEM specialist" reasoning model.
About the Model
GPT-o3 mini is the compact, cost-effective sibling of the o3 reasoning series. It is designed to deliver "PhD-level" performance in STEM subjects (Science, Technology, Engineering, Math) while maintaining the speed of a standard small model. It replaces o1-mini in the 2026 lineup, offering higher rate limits and better tool integration.
Model Key Capabilities
Speed-to-Logic Ratio:
Delivers o1-level reasoning at nearly 5x the speed.
Production-Ready Tooling:
Supports function calling and Structured Outputs natively.
FrontierMath Mastery:
Solves 32%+ of research-level math problems on the first attempt with Python tools.
Competition Coding:
Achieves elite Elo scores on Codeforces, outperforming previous "mini" versions.
Applications & Use Cases
Real-time Tutoring:
Providing instant feedback on complex physics or calculus problems.
Fast Debugging:
Identifying logic errors in scripts within milliseconds.
Structured Data Extraction:
Pulling complex variables from messy text into precise JSON.
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Model Specifications
General | |
|---|---|
Model Provider | OpenAI |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | Adaptive (Low, Medium, High) |
GPQA Diamond | 79.7% (High Effort) |
Memory | |
Max Context | 200K Tokens |
Speed | |
Latency (TTFT) | 0.25s |
Throughput | 141 Tokens/sec |
