Key Specifications
| Vendor | xai |
| Version | 2-vision |
| Release Date | 2024-08-13 |
| Context Window | 32768 tokens |
| Input Modalities | text, image |
| Output Modalities | text |
| License | Proprietary |
| Documentation | https://docs.x.ai/ |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
83.4 |
% |
2024-08-13 |
5-shot |
view |
| HUMANEVAL |
84.2 |
pass@1 |
2024-08-13 |
— |
view |
| GSM8K |
83.4 |
% |
2024-08-13 |
0-shot CoT |
view |
| MATH |
41.3 |
% |
2024-08-13 |
0-shot CoT |
view |
| BBH |
75.4 |
% |
2024-08-13 |
3-shot CoT |
view |
| GPQA |
43.8 |
% |
2024-08-13 |
0-shot |
view |
| IFEVAL |
76.9 |
% |
2024-08-13 |
prompt_strict |
view |
| ARC |
93.3 |
% |
2024-08-13 |
challenge |
view |
| MUSR |
57.7 |
% |
2024-08-13 |
0-shot |
view |
| WINOGRANDE |
87.5 |
% |
2024-08-13 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $2 / Mtok | USD |
| Output | $10 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://x.ai/api
· as of 2024-08-13
Compliance
- Data Residency: US
- SOC2: ✗
- HIPAA: ✗
- GDPR: ✗
- ISO 27001: ✗
Grok-2 Vision
Model Overview
xAI Grok-2 Vision 多模态模型, 32K 上下文, 支持图像理解, 适合视觉问答与多模态推理。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Xai |
2-vision |
2024-08-13 |
32K |
text, image |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
83.4 |
% |
5-shot |
| HumanEval |
84.2 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
83.4 |
% |
0-shot CoT |
| MATH |
41.3 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
75.4 |
% |
3-shot CoT |
| GPQA |
43.8 |
% |
0-shot |
| IFEval |
76.9 |
% |
prompt_strict |
| ARC |
93.3 |
% |
challenge |
| MUSR |
57.7 |
% |
0-shot |
| WinoGrande |
87.5 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 83.4, strong knowledge reasoning.
- HumanEval 84.2, excellent code generation.
- Input Modalities: text, image, audio.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Vision and image understanding
References