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reasoningcodingmultilingualvisionfunction-calling
性能ベンチマーク
MMLU88.7%
GPQA59.4%
HumanEval92%
Math53%
モデル概要
Claude 3.5 Sonnet represents a significant leap forward in AI capabilities. It sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). The model is designed to handle complex, multi-step workflows with impressive accuracy while maintaining the conversational tone and natural language understanding that Claude is known for.
主なユースケース
Complex reasoning and analysis
Advanced coding and debugging
Mathematical problem solving
Research and analysis
Creative writing and content generation
Multilingual translation and localization
Technical documentation
このモデルを試す
インタラクティブデモでこのモデルの能力を確認できます
自分のプロンプトでテストし、結果をリアルタイムで確認しましょう
主要仕様
Context Window
200,000 tokens
Max Output
8,192 tokens
Training Data
Up to April 2024
Languages
100+ languages
Input Speed
87 tokens/s
Output Speed
32 tokens/s
価格の内訳
| プラン | 入力価格 | 出力価格 |
|---|---|---|
| Input | $3/million tokens | $15/million tokens |
| Cached | $0.3/million tokens | $15/million tokens |
コスト計算機
$0.0180
機能と特徴
Vision
Function Calling
Streaming
JSON Mode
System Prompts
✕Code Execution
✕Image Generation
✕Audio Input
✕Audio Output
Multimodal
✕Search
✕Web Browsing
統合例
import anthropic
client = anthropic.Anthropic(api_key="your-api-key")
message = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello, Claude!"}
]
)
print(message.content)コミュニティ評価
4.8
★★★★★
コミュニティレビューに基づく
バージョン履歴と変更ログ
3.5 Sonnet (October 2024)
2024-10-22- ✓Improved reasoning capabilities
- ✓Enhanced coding performance
- ✓Better multilingual understanding
- ✓New prompt caching feature