OpenAIproprietary
Released: 2025-01-31o3-mini
OpenAI cost-efficient reasoning model optimized for STEM, competitive mathematics, and autonomous coding.
Intelligence Index
89.5/ 100
Calibrated multi-domain compositeThroughput Speed
115tok/sec
Output streaming throughputTime To First Token
270ms
Initial chunk server latencyLiveBench Contam-Free
80.2%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning87.2%
Coding & Repo Repair81.0%
Mathematics (AIME)86.5%
Data Analysis & Tables77.0%
Language & Comprehension74.5%
Instruction Following75.0%
Sourced Benchmark Evaluations (3)
Verified performance across authoritative benchmarks with provenance tracking.OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="o3-mini",
messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
temperature=0.2
)
print(response.choices[0].message.content)Evaluation & Sourcing Notes
Scores listed for o3-mini represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.
All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.