Key Specifications
| Vendor | other |
| Version | yi-vision |
| Release Date | 2024-05-13 |
| Context Window | 16384 tokens |
| Input Modalities | text, image |
| Output Modalities | text |
| License | Proprietary |
| Documentation | https://huggingface.co/models |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
85.5 |
% |
2024-05-13 |
5-shot |
view |
| HUMANEVAL |
76.1 |
pass@1 |
2024-05-13 |
— |
view |
| GSM8K |
89.9 |
% |
2024-05-13 |
0-shot CoT |
view |
| MATH |
58.7 |
% |
2024-05-13 |
0-shot CoT |
view |
| BBH |
78.3 |
% |
2024-05-13 |
3-shot CoT |
view |
| GPQA |
50.3 |
% |
2024-05-13 |
0-shot |
view |
| IFEVAL |
81.4 |
% |
2024-05-13 |
prompt_strict |
view |
| ARC |
95.1 |
% |
2024-05-13 |
challenge |
view |
| MUSR |
61.4 |
% |
2024-05-13 |
0-shot |
view |
| WINOGRANDE |
82.3 |
% |
2024-05-13 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $3 / Mtok | USD |
| Output | $3 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://huggingface.co/models
· as of 2024-05-13
Compliance
- Data Residency: self-host
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Yi Vision
Model Overview
01.AI Yi Vision 多模态模型, 16K 上下文, 支持图像理解, 中英文视觉问答能力突出。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Other |
yi-vision |
2024-05-13 |
16K |
text, image |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
85.5 |
% |
5-shot |
| HumanEval |
76.1 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
89.9 |
% |
0-shot CoT |
| MATH |
58.7 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
78.3 |
% |
3-shot CoT |
| GPQA |
50.3 |
% |
0-shot |
| IFEval |
81.4 |
% |
prompt_strict |
| ARC |
95.1 |
% |
challenge |
| MUSR |
61.4 |
% |
0-shot |
| WinoGrande |
82.3 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 85.5, strong knowledge reasoning.
- GSM8K 89.9, robust math reasoning.
- Input Modalities: text, image, audio.
Weaknesses
- Proprietary, not self-hostable.
- Context window 16K is limited.
Use Cases
- Code generation and debugging
- Vision and image understanding
References