Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
85.8 |
% |
2023-03-14 |
5-shot |
view |
| HUMANEVAL |
77.6 |
pass@1 |
2023-03-14 |
— |
view |
| GSM8K |
91.7 |
% |
2023-03-14 |
0-shot CoT |
view |
| MATH |
43.9 |
% |
2023-03-14 |
0-shot CoT |
view |
| BBH |
80.9 |
% |
2023-03-14 |
3-shot CoT |
view |
| GPQA |
39.2 |
% |
2023-03-14 |
0-shot |
view |
| IFEVAL |
74.6 |
% |
2023-03-14 |
prompt_strict |
view |
| ARC |
94.1 |
% |
2023-03-14 |
challenge |
view |
| MUSR |
54.6 |
% |
2023-03-14 |
0-shot |
view |
| WINOGRANDE |
80.3 |
% |
2023-03-14 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $30 / Mtok | USD |
| Output | $60 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://openai.com/api/pricing/
· as of 2023-03-14
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✓
- GDPR: ✓
- ISO 27001: ✓
GPT-4
Model Overview
OpenAI GPT-4 大型语言模型, 8K 上下文, 在推理/创意/协作任务上显著超越 GPT-3.5, 首次引入人类水平表现。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Openai |
4 |
2023-03-14 |
8K |
text |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
85.8 |
% |
5-shot |
| HumanEval |
77.6 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
91.7 |
% |
0-shot CoT |
| MATH |
43.9 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
80.9 |
% |
3-shot CoT |
| GPQA |
39.2 |
% |
0-shot |
| IFEval |
74.6 |
% |
prompt_strict |
| ARC |
94.1 |
% |
challenge |
| MUSR |
54.6 |
% |
0-shot |
| WinoGrande |
80.3 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 85.8, strong knowledge reasoning.
- GSM8K 91.7, robust math reasoning.
Weaknesses
- Proprietary, not self-hostable.
- Context window 8K is limited.
Use Cases
- Code generation and debugging
- Agent workflows and tool use
References