商品目录

Fast Claude lane for lightweight agents, office tasks, and responsive chat

Fast Claude lane for lightweight agents, office tasks, and responsive chat

Fast Claude lane for lightweight agents, office tasks, and responsive chat

Fast Claude lane for lightweight agents, office tasks, and responsive chat

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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。

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Claude Haiku 4.5 是由 opencode 提供的人工智能模型。

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充值¥1=$1，模型折后价即为人民币价格。；基础推理强度，其他推理强度和分段累进规则以原站为准

Claude Haiku 4.5Fast and cost-efficient Claude model for latency-sensitive assistants, summaries, and high-volume production traffic.Anthropic|1M context|70 Credits input/350 Credits output/7 Credits cache read/87.5 Credits cache write/ 1M tokens

企业级稳定度，在稳定组的基础上增加：支持多并发，不限客户端，保证100%claude模型。———————— Enterprise-grade stability, building on the Stability Plan with the following additions: support for high concurrency, unlimited clients, and a 100% guarantee of Claude models.

媲美ANTHROPIC原生订阅版本智商的KIRO，高缓存（ANTHROPIC协议，Fable=Opus）———————— KIRO, which boasts an IQ on a par with the native subscription version of ANTHROPIC, Xhigh Cache (ANTHROPIC protocol),Fable=Opus)

第三方渠道逆向模型，真假自测。———————— Third-party channel reverse-engineering model: self-test to determine authenticity.

MAX订阅渠道，最接近官方体验，安全审查更严，CC test评分65-100%（本站开启安全审查，有些客户端和提示词会被过滤，所以会影响评分，模型是100% claude） ———————— The MAX subscription channel offers the closest experience to the official version, with stricter security checks and a CC test score of 65–100 per cent (this site has security checks enabled, so some clients and prompts may be filtered, which affects the score; the model is 100 per cent Claude).

MAX订阅渠道，支持第三方客户端（通过修改系统提示词绕过检测），CC test评分65-100%（为了兼容第三方客户端修改了系统提示词，影响评分系统，模型是100% CLAUDE）———————— MAX subscription channel, supports third-party clients (by modifying system prompts to bypass detection), CC test score 65–100 per cent (system prompts have been modified for compatibility with third-party clients, which affects the scoring system; the model is 100 per cent CLAUDE)

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Anthropic 轻量级模型，速度快、成本低，适合摘要、分类、检索等高并发场景。

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