H Hvoy AI
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Site domain
alro.huazhiweilai.com
Established
2026-01-09
Covered models
Fable 5 / Opus 4.8 / Opus 4.7 / Sonnet 5 / GLM 5.2 / GPT Image 2 / Opus 4.6
Public records
42 public records
User feedback
0 up / 0 down

Site descriptions, notices, and reviews are shown in the language in which they were submitted.

Site introduction

ALRO全模态AI模型聚合服务平台是面向个人与企业的全栈AI生产力基础设施。以词元工厂为核心中枢,深度融通异构尊力、多元横型与应用生态,实现从底层算力到词元的规模化制造、智能调度与价值流转。ALRO伴随式个人智能体、自适应协同工作流引学与全场景智能办公套件,构筑起从个人泛在伴随智能体,到企业白流进群体智能网络的实用生产力闭环。平台聚合国内外领先的大语言,图像生成、视频生成等多模态AI能力,通过统一楼型接入,灵活调用,格式互通,要及企业级管理能力,帮助用户降低AI应用门槛,提高人工智能使用效率,让AI直正成为每个人和每个组织的生产力工具。

Model coverage summary

Price listing

Fable 5

2 public records are listed; open the full page to review details as needed.

Price listing

Opus 4.8

3 public records are listed; open the full page to review details as needed.

Price listing

Opus 4.7

3 public records are listed; open the full page to review details as needed.

Price listing

Sonnet 5

3 public records are listed; open the full page to review details as needed.

Price listing

GLM 5.2

1 public records are listed; open the full page to review details as needed.

Price listing

GPT Image 2

1 public records are listed; open the full page to review details as needed.

Price listing

Opus 4.6

3 public records are listed; open the full page to review details as needed.

Public model pricing

Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.

Fable 5

2 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Claude Cursor claude-fable-5 输入 ¥6.9 / 输出 ¥34.5 / 缓存 ¥0.69 / 写入 ¥13.8 0%
Claude 官方渠道 claude-fable-5 输入 ¥23 / 输出 ¥115 / 缓存 ¥2.3 / 写入 ¥46 -86%

Opus 4.8

3 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
claude aws claude-opus-4-8 输入 ¥1.73 / 输出 ¥8.63 / 缓存 ¥0.18 / 写入 ¥3.46 -86%
Claude Cursor claude-opus-4-8 输入 ¥3.45 / 输出 ¥17.25 / 缓存 ¥0.36 / 写入 ¥6.91 0%
Claude 官方渠道 claude-opus-4-8 输入 ¥11.5 / 输出 ¥57.5 / 缓存 ¥1.2 / 写入 ¥23.04 -86%

Opus 4.7

3 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
claude aws claude-opus-4-7 输入 ¥1.73 / 输出 ¥8.63 / 缓存 ¥0.18 / 写入 ¥3.46 -86%
Claude Cursor claude-opus-4-7 输入 ¥3.45 / 输出 ¥17.25 / 缓存 ¥0.36 / 写入 ¥6.91 0%
Claude 官方渠道 claude-opus-4-7 输入 ¥11.5 / 输出 ¥57.5 / 缓存 ¥1.2 / 写入 ¥23.04 -86%

Sonnet 5

3 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
claude aws claude-sonnet-5 输入 ¥0.69 / 输出 ¥3.45 / 缓存 ¥0.069 / 写入 ¥1.38 -86%
Claude Cursor claude-sonnet-5 输入 ¥1.38 / 输出 ¥6.9 / 缓存 ¥0.138 / 写入 ¥2.76 0%
Claude 官方渠道 claude-sonnet-5 输入 ¥4.6 / 输出 ¥23 / 缓存 ¥0.46 / 写入 ¥9.2 -86%

GLM 5.2

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
国内模型 glm-5.2 输入 ¥7.36 / 输出 ¥25.76 / 缓存 ¥25.76 / 写入 ¥2.94 -86%

GPT Image 2

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
图像模型 gpt-image-2 ¥0.046 / 次 -

Opus 4.6

3 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
claude aws claude-opus-4-6 输入 ¥1.73 / 输出 ¥8.63 / 缓存 ¥0.18 / 写入 ¥3.46 -86%
Claude Cursor claude-opus-4-6 输入 ¥3.45 / 输出 ¥17.25 / 缓存 ¥0.36 / 写入 ¥6.91 0%
Claude 官方渠道 claude-opus-4-6 输入 ¥11.5 / 输出 ¥57.5 / 缓存 ¥1.2 / 写入 ¥23.04 -86%

Site notices

注册福利政策】💫

【注册福利政策】💫 💰平台首次注册用户送5元兑换券,单账户限领一次哦~ 同一用户多账号重复薅取、转让福利,平台有权取消资格并回收兑换券🚫 👉领取方式:扫描网页最下方客服微信即可领取🎉 感谢各位理解配合🙌

How to read this data

Uptime is the share of recent probes where the service was available; a higher value generally indicates better stability.

Model consistency uses model pass results to show whether the endpoint behaves like the target model.

Pricing and latency come from public monitoring data and are intended for side-by-side gateway comparison.

Data is provided for reference. Third-party gateways may experience outages or balance loss, so test first and add only a small balance when needed.