
sale/claude-sonnet-5-5
API Overview
The discounted version is powered by a hybrid cloud infrastructure combining AWS, official providers, Azure, and Vertex AI. It uses clean, native APIs with no reverse-engineered interfaces.
Claude Sonnet 5.5 is an industrial-grade, mid-tier large model from the Anthropic family that boasts exceptional cost-effectiveness, cutting-edge reasoning speed, and flagship-level agent capabilities. Sonnet 5.5 delivers a generation speed improvement of over 30% compared to its predecessor, while also making significant advances in complex agentic programming, tool-call efficiency, and visual understanding. The model not only approaches or even surpasses some high-end flagship models on programming benchmarks such as Terminal-Bench 4.0 and CursorBench 4.0, but also reduces the overall cost of completing the same task by up to 30% through fewer unnecessary tool calls and thinking steps. It serves as a highly cost-effective foundation for enterprises deploying code assistants, automating workflows, and handling daily complex interactions at scale.
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Core Capabilities
Pioneering Agentic Coding Breakthroughs: Achieves a score of 70.6% on Terminal-Bench 4.0 (compared to just 10.3% for the previous generation), reaches 81.3% on SWE-Bench Pro, and scores 55.5% on CursorBench 4.0, demonstrating outstanding performance in code refactoring and debugging.
Ultra-Fast Output with Reduced Token Consumption: End-to-end generation speed improves by more than 30%, while generating more insightful text and reducing redundant tool calls, significantly lowering both the runtime and token consumption per task.
Adaptive Multi-Level Reasoning: Natively supports seamless switching between Low / Medium (default) / High / Max reasoning depths, striking a balance between lightning-fast responses and deep logical verification.
1M Context and Ultra-Low Cache Threshold of 512 Tokens: By default, it supports an ultra-long context of 1,000,000 tokens (with a maximum export limit of 128K). The minimum trigger threshold for prompt caching has been reduced from 1024 to 512 tokens, further lowering costs for short, multi-turn interactions.
Playground
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