Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
86.3 |
% |
2024-12-17 |
5-shot |
view |
| HUMANEVAL |
85.3 |
pass@1 |
2024-12-17 |
— |
view |
| GSM8K |
88.9 |
% |
2024-12-17 |
0-shot CoT |
view |
| MATH |
55.7 |
% |
2024-12-17 |
0-shot CoT |
view |
| BBH |
83.1 |
% |
2024-12-17 |
3-shot CoT |
view |
| GPQA |
57.5 |
% |
2024-12-17 |
0-shot |
view |
| IFEVAL |
82.2 |
% |
2024-12-17 |
prompt_strict |
view |
| ARC |
96.8 |
% |
2024-12-17 |
challenge |
view |
| MUSR |
71.8 |
% |
2024-12-17 |
0-shot |
view |
| WINOGRANDE |
86.7 |
% |
2024-12-17 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $15 / Mtok | USD |
| Output | $60 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://openai.com/api/pricing/
· as of 2024-12-17
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✓
- GDPR: ✓
- ISO 27001: ✓
o1
Model Overview
OpenAI o1 正式版推理模型, 200K 上下文, 强化链式思维推理, 在数学竞赛与编程竞赛上达到顶尖水平。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Openai |
o1 |
2024-12-17 |
200K |
text |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
86.3 |
% |
5-shot |
| HumanEval |
85.3 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
88.9 |
% |
0-shot CoT |
| MATH |
55.7 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
83.1 |
% |
3-shot CoT |
| GPQA |
57.5 |
% |
0-shot |
| IFEval |
82.2 |
% |
prompt_strict |
| ARC |
96.8 |
% |
challenge |
| MUSR |
71.8 |
% |
0-shot |
| WinoGrande |
86.7 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 86.3, strong knowledge reasoning.
- HumanEval 85.3, excellent code generation.
- GSM8K 88.9, robust math reasoning.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Agent workflows and tool use
References