Key Specifications
| Vendor | openai |
| Version | turbo |
| Release Date | 2023-11-06 |
| Context Window | 128000 tokens |
| Input Modalities | text, image |
| Output Modalities | text |
| License | Proprietary |
| Documentation | https://platform.openai.com/docs/models |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
84.4 |
% |
2023-11-06 |
5-shot |
view |
| HUMANEVAL |
80.5 |
pass@1 |
2023-11-06 |
— |
view |
| GSM8K |
85.2 |
% |
2023-11-06 |
0-shot CoT |
view |
| MATH |
50.9 |
% |
2023-11-06 |
0-shot CoT |
view |
| BBH |
78.5 |
% |
2023-11-06 |
3-shot CoT |
view |
| GPQA |
49.2 |
% |
2023-11-06 |
0-shot |
view |
| IFEVAL |
77.9 |
% |
2023-11-06 |
prompt_strict |
view |
| ARC |
94.2 |
% |
2023-11-06 |
challenge |
view |
| MUSR |
61.1 |
% |
2023-11-06 |
0-shot |
view |
| WINOGRANDE |
80.8 |
% |
2023-11-06 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $10 / Mtok | USD |
| Output | $30 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://openai.com/api/pricing/
· as of 2023-11-06
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✓
- GDPR: ✓
- ISO 27001: ✓
GPT-4 Turbo
Model Overview
OpenAI GPT-4 Turbo 模型, 128K 上下文窗口, 支持视觉输入, 相比 GPT-4 价格降低 3 倍, 性能提升。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Openai |
turbo |
2023-11-06 |
128K |
text, image |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
84.4 |
% |
5-shot |
| HumanEval |
80.5 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
85.2 |
% |
0-shot CoT |
| MATH |
50.9 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
78.5 |
% |
3-shot CoT |
| GPQA |
49.2 |
% |
0-shot |
| IFEval |
77.9 |
% |
prompt_strict |
| ARC |
94.2 |
% |
challenge |
| MUSR |
61.1 |
% |
0-shot |
| WinoGrande |
80.8 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 84.4, strong knowledge reasoning.
- HumanEval 80.5, excellent code generation.
- GSM8K 85.2, robust math reasoning.
- Input Modalities: text, image, audio.
- Context window 128K.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Long document summarization
- Vision and image understanding
- Agent workflows and tool use
References