Key Specifications
| Vendor | anthropic |
|---|
| Version | 3-sonnet |
|---|
| Release Date | 2024-03-04 |
|---|
| 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 | 81.5 | % | 2024-03-04 | 5-shot | view |
| HUMANEVAL | 74.5 | pass@1 | 2024-03-04 | — | view |
| GSM8K | 84 | % | 2024-03-04 | 0-shot CoT | view |
| MATH | 42.4 | % | 2024-03-04 | 0-shot CoT | view |
| BBH | 76.1 | % | 2024-03-04 | 3-shot CoT | view |
| GPQA | 35.9 | % | 2024-03-04 | 0-shot | view |
| IFEVAL | 74.3 | % | 2024-03-04 | prompt_strict | view |
| ARC | 94.8 | % | 2024-03-04 | challenge | view |
| MUSR | 64.1 | % | 2024-03-04 | 0-shot | view |
| WINOGRANDE | 83.8 | % | 2024-03-04 | 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 2024-03-04
Compliance
- Data Residency: US
- SOC2: ✓
- HIPAA: ✗
- GDPR: ✓
- ISO 27001: ✗
Claude 3 Sonnet
Model Overview
Anthropic Claude 3 Sonnet 平衡型模型, 200K 上下文, 在速度与智能间取得平衡, 适合企业级部署。
Core Specifications
| Vendor | Version | Release Date | Context Window | Input Modalities | Output Modalities | License |
|---|
| Anthropic | 3-sonnet | 2024-03-04 | 200K | text, image | text | Proprietary |
| Benchmark | Score | Unit | Notes |
|---|
| MMLU (Massive Multitask Language Understanding) | 81.5 | % | 5-shot |
| HumanEval | 74.5 | pass@1 | — |
| GSM8K (Grade School Math 8K) | 84.0 | % | 0-shot CoT |
| MATH | 42.4 | % | 0-shot CoT |
| BBH (BIG-Bench Hard) | 76.1 | % | 3-shot CoT |
| GPQA | 35.9 | % | 0-shot |
| IFEval | 74.3 | % | prompt_strict |
| ARC | 94.8 | % | challenge |
| MUSR | 64.1 | % | 0-shot |
| WinoGrande | 83.8 | % | 0-shot |
Pricing
| Input | Output | Cache Read | Cache Write |
|---|
| — | — | — | — |
per million tokens
Strengths
- MMLU score 81.5, strong knowledge reasoning.
- Input Modalities: text, image, audio.
- Context window 200K.
Weaknesses
- Proprietary, not self-hostable.
Use Cases
- Code generation and debugging
- Long document summarization
- Vision and image understanding
References