OpenAIproprietary
Released: 2024-12-05o1
OpenAI full-scale reasoning model using extensive chain-of-thought verification before responding.
Intelligence Index
87.2/ 100
Calibrated multi-domain compositeThroughput Speed
45tok/sec
Output streaming throughputTime To First Token
950ms
Initial chunk server latencyLiveBench Contam-Free
73.5%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning86.8%
Coding & Repo Repair74.0%
Mathematics (AIME)89.2%
Data Analysis & Tables77.0%
Language & Comprehension82.0%
Instruction Following87.5%
Sourced Benchmark Evaluations (5)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| Humanity's Last Exam | Active | 9.1% | 90 | 2025-01-24 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 67.7% | 75 | 2025-01-02 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 56.2% | 25 | 2024-12-14 | independent | Source ↗ |
| IFEval | Deprecated | 87.5% | 25 | 2024-12-09 | independent | Source ↗ |
| GPQA | Nearing Saturation | 78% | 75 | 2024-09-12 | vendor-reported | Source ↗ |
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="o1",
messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
temperature=0.2
)
print(response.choices[0].message.content)Evaluation & Sourcing Notes
Scores listed for o1 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.