Key Specifications
| Vendor | anthropic |
| Version | 3.5-sonnet-20241022 |
| Release Date | 2024-10-22 |
| Context Window | 200000 tokens |
| Input Modalities | text, image |
| Output Modalities | text |
| License | Proprietary |
| Documentation | https://docs.anthropic.com/claude/docs |
Benchmark Performance
| Benchmark |
Score |
Unit |
Evaluated At |
Notes |
Source |
| MMLU |
87.2 |
% |
2024-10-22 |
5-shot |
view |
| HUMANEVAL |
86.1 |
pass@1 |
2024-10-22 |
— |
view |
| GSM8K |
94 |
% |
2024-10-22 |
0-shot CoT |
view |
| MATH |
75.1 |
% |
2024-10-22 |
0-shot CoT |
view |
| BBH |
84.2 |
% |
2024-10-22 |
3-shot CoT |
view |
| GPQA |
50.9 |
% |
2024-10-22 |
0-shot |
view |
| IFEVAL |
81.6 |
% |
2024-10-22 |
prompt_strict |
view |
| ARC |
96.8 |
% |
2024-10-22 |
challenge |
view |
| MUSR |
71.8 |
% |
2024-10-22 |
0-shot |
view |
| WINOGRANDE |
86.9 |
% |
2024-10-22 |
0-shot |
view |
Pricing
| Tier |
Price |
Currency |
| Input | $3 / Mtok | USD |
| Output | $15 / Mtok | USD |
| Cache Read | $0 / Mtok | USD |
| Cache Write | $0 / Mtok | USD |
Source:
https://www.anthropic.com/pricing
· as of 2024-10-22
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✗
Claude 3.5 Sonnet (2024-10-22)
Model Overview
Anthropic Claude 3.5 Sonnet 2024-10-22 版本, 引入计算机使用能力, 编码与推理性能再次提升。
Core Specifications
| Vendor |
Version |
Release Date |
Context Window |
Input Modalities |
Output Modalities |
License |
| Anthropic |
3.5-sonnet-20241022 |
2024-10-22 |
200K |
text, image |
text |
Proprietary |
| Benchmark |
Score |
Unit |
Notes |
| MMLU (Massive Multitask Language Understanding) |
87.2 |
% |
5-shot |
| HumanEval |
86.1 |
pass@1 |
— |
| GSM8K (Grade School Math 8K) |
94.0 |
% |
0-shot CoT |
| MATH |
75.1 |
% |
0-shot CoT |
| BBH (BIG-Bench Hard) |
84.2 |
% |
3-shot CoT |
| GPQA |
50.9 |
% |
0-shot |
| IFEval |
81.6 |
% |
prompt_strict |
| ARC |
96.8 |
% |
challenge |
| MUSR |
71.8 |
% |
0-shot |
| WinoGrande |
86.9 |
% |
0-shot |
Pricing
| Input |
Output |
Cache Read |
Cache Write |
| — |
— |
— |
— |
per million tokens
Strengths
- MMLU score 87.2, strong knowledge reasoning.
- HumanEval 86.1, excellent code generation.
- GSM8K 94.0, robust math reasoning.
- Context window 200K.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Long document summarization
- Agent workflows and tool use
References