模型詳情
claude-sonnet-4-5-20250929
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking. Sonnet 4.5 also introduces stronger agentic capabilities, including improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With enhanced context tracking and awareness of token usage across tool calls, it is particularly well-suited for multi-context and long-running workflows. Use cases span software engineering, cybersecurity, financial analysis, research agents, and other domains requiring sustained reasoning and tool use.
模型規格
- 上下文長度
- 200K
- 最大輸出
- 64K
- 輸入/輸出模態
- 文字 / 圖片
- 發布日期
- 2025-09
02
API 端點
單一 MixRoute 閘道,OpenAI 相容
-
Anthropic Messages
/v1/messagesPOST -
OpenAI-compatible
/v1/chat/completionsPOST
03
價格
固定費率,單位:/1M Tokens
輸入
$3.0000 /1M Tokens
補全
$15.0000 /1M Tokens
快取讀取
$0.3000 /1M Tokens
快取建立
$3.7500 /1M Tokens
05
選型摘要
快速判斷是否適合你的工作負載
What is this model good for?
Real-world agents and coding with state-of-the-art performance
Use Claude Sonnet 4.5 for software engineering, cybersecurity, financial analysis, and research agents. It delivers state-of-the-art coding performance with improved tool orchestration and context management.
What should you check before using it?
Test extended autonomous operation and tool orchestration
Sonnet 4.5 supports extended autonomous operation with fact-based progress tracking. Test speculative parallel execution and context management for long-running workflows.
Why use it through MixRoute?
Use the compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID claude-sonnet-4-5 through MixRoute.
08
Token 成本估算
基於本頁價格的即時估算,非實際帳單
同一前綴被重複讀取的輸入占比,最高 100%
單一端點,可驗證的決策
使用相同的請求格式測試此模型與替代路由
從真實工作負載開始,再由品質、總成本與故障條件決定是否導入正式環境流量。