Key Specifications
| Vendor | openai |
| Version | 4-1106-preview |
| Release Date | 2023-11-06 |
| Context Window | 128000 tokens |
| Input Modalities | text |
| Output Modalities | text |
| License | Proprietary |
| Documentation | https://platform.openai.com/docs/models |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
81.8 |
% |
2023-11-06 |
5-shot |
view |
| HUMANEVAL |
83.7 |
pass@1 |
2023-11-06 |
— |
view |
| GSM8K |
85.4 |
% |
2023-11-06 |
0-shot CoT |
view |
| MATH |
52.1 |
% |
2023-11-06 |
0-shot CoT |
view |
| BBH |
80 |
% |
2023-11-06 |
3-shot CoT |
view |
| GPQA |
36.2 |
% |
2023-11-06 |
0-shot |
view |
| IFEVAL |
73.9 |
% |
2023-11-06 |
prompt_strict |
view |
| ARC |
94.3 |
% |
2023-11-06 |
challenge |
view |
| MUSR |
58.4 |
% |
2023-11-06 |
0-shot |
view |
| WINOGRANDE |
82 |
% |
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 1106 Preview
Model Overview
OpenAI GPT-4 1106 预览版, 128K 上下文, 改进函数调用与 JSON 模式, 适合结构化输出任务。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Openai |
4-1106-preview |
2023-11-06 |
128K |
text |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
81.8 |
% |
5-shot |
| HumanEval |
83.7 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
85.4 |
% |
0-shot CoT |
| MATH |
52.1 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
80.0 |
% |
3-shot CoT |
| GPQA |
36.2 |
% |
0-shot |
| IFEval |
73.9 |
% |
prompt_strict |
| ARC |
94.3 |
% |
challenge |
| MUSR |
58.4 |
% |
0-shot |
| WinoGrande |
82.0 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 81.8, strong knowledge reasoning.
- HumanEval 83.7, excellent code generation.
- GSM8K 85.4, robust math reasoning.
- Context window 128K.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Long document summarization
- Agent workflows and tool use
References