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Claude Opus4.7是Anthropic迄今为止最强大的通用模型。它高度自主，在长期目标导向的代理工作、知识性工作、视觉任务和记忆任务上表现尤为出色。Claude Opus 4.7支持1M token的上下文窗口、128k最大输出token、自适应思维，并提供与Claude Opus 4.6相同的一套工具和平台功能。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

Opus 4.7 is a new-generation model of Anthropic's Opus series, designed specifically for long-running intelligent asynchronous agents. While retaining the core strengths of Opus 4.6 in coding and intelligent agent capabilities, it delivers better performance on complex multi-step tasks and enables more stable and reliable execution of intelligent agents in long workflow chains. It is particularly applicable to asynchronous intelligent agent processes where tasks are advanced gradually in phases, and can efficiently adapt to scenarios including large codebase processing, multi-stage program debugging and full-process project management.

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。

原站公开的站内额度标价；充值折扣、规格附加费及最终扣费以原站为准。