Commercial use

Claude Opus 5 是 Anthropic 推出的一款具备深度思考与主动性的模型,为端到端编程、复杂推理、视觉分析及长周期企业级任务提供媲美 Fable 5 的智能表现。

README

专为深度思考与主动型智能体工作流打造的 Claude Opus 5 API

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Feature image
通过 Claude Opus 5 API 实现缜密且主动的执行
Anthropic Claude Opus 5 API:单任务性能全面跃升
用 Claude 5 Opus API 以全新方式解决问题
Claude Opus 5 API:端到端编程与 Bug 排查
Opus 5 API:长上下文处理、视觉分析与办公任务
Anthropic Claude Opus 5 API:提供对齐度更高的智能体行为
具备明确的安全防护措施,提供更强的网络安全辅助
评测领域基准测试Claude Opus 5Claude Fable 5Claude Opus 4.8GPT-5.6 Sol
Agentic Terminal CodingFrontier-Bench v0.143.3%33.7%21.1%34.4%
Knowledge WorkGDPval-AA v21861174715931736
Novel Problem-SolvingARC-AGI 330.2%1.5%7.8%
Agentic SearchBrowseComp90.8%87.4%84.3%90.4%
Multidisciplinary ReasoningHumanity’s Last Exam, No Tools56.3%56.5%49.8%
Multidisciplinary ReasoningHumanity’s Last Exam, With Tools64.7%63.9%57.9%
Computer UseOSWorld 2.070.6%66.1%55.7%62.6%
Agentic CodingDeepSWE v1.168.8%69.7%59.0%72.7%
Agentic CodingFrontierCode v1.1, Main53.4%53.5%46.5%47.5%
Business WorkflowsAutomationBench26.0%17.4%17.0%18.1%
LegalLegal Agent Benchmark, Held-Out11.7%13.3%10.4%2.5%
HealthHealthBench Professional59.8%66.0%†57.4%60.5%
BiologyBioMysteryBench, Hard49.4%46.5%42.4%
BiologyBioMysteryBench, Human-Solved90.1%89.0%†88.5%

Kie.ai offers cost-conscious Claude Opus 5 API pricing for teams that need advanced reasoning and agentic execution without losing control of operational expenses. A usage-based approach makes it easier to test the model, estimate costs across different workloads, and scale requests according to actual application demand.

Complete integration guidance covers authentication, endpoints, request structures, response handling, supported parameters, and common implementation patterns. Because model identifiers, context limits, tool functions, effort settings, and beta capabilities may change, the documentation is updated to reflect the latest Claude Opus 5 API configuration available through Kie.ai.

Technical assistance is available when developers encounter authentication errors, request failures, parameter issues, billing questions, or unexpected model behavior. This reduces the time spent diagnosing integration problems and helps teams move from initial testing to a stable production deployment more efficiently.

Kie.ai also provides access to other leading language, image, video, and audio models, allowing developers to compare capabilities and select different models for separate parts of an application. Instead of maintaining multiple provider integrations, teams can expand their AI stack through a more consistent development environment.