H Hvoy AI
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Site domain
onehop.ai
Established
2026-06-08
Covered models
Fable 5 / Opus 4.8 / Opus 4.7 / Sonnet 5 / GPT 5.6 Sol / GPT 5.6 Terra / GPT 5.5 / GLM 5.2 / GPT Image 2 / Opus 4.6
Public records
23 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

OneHop.ai 是面向开发者和企业的 AI Gateway,用一个 API 统一接入多家主流大模型。平台支持按量计费、价格透明、余额可退,提供测试 token,降低接入和试用成本;同时提供多层冗余与稳定路由,减少服务中断风险,并配套官方支持,适合生产环境长期使用。

Model coverage summary

Price listing

Fable 5

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

Price listing

Opus 4.8

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

Price listing

Opus 4.7

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

Price listing

Sonnet 5

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

Price listing

GPT 5.6 Sol

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

Price listing

GPT 5.6 Terra

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

Price listing

GPT 5.5

1 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

1 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

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
anthropic claude-fable-5 输入 ¥20.4 / 输出 ¥102 / 缓存 ¥2.04 / 写入 ¥40.8 0%

Opus 4.8

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
anthropic claude-opus-4.8 输入 ¥10.2 / 输出 ¥51 / 缓存 ¥1.02 / 写入 ¥20.4 0%

Opus 4.7

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
anthropic claude-opus-4.7 输入 ¥10.2 / 输出 ¥51 / 缓存 ¥1.02 / 写入 ¥20.4 0%

Sonnet 5

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
anthropic claude-sonnet-5 输入 ¥6.12 / 输出 ¥30.6 / 缓存 ¥0.612 / 写入 ¥12.24 0%

GPT 5.6 Sol

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
openai gpt-5.6-sol 输入 ¥2.72 / 输出 ¥13.6 / 缓存 ¥0.272 / 写入 ¥3.4 -33%

GPT 5.6 Terra

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
openai gpt-5.6-terra 输入 ¥1.36 / 输出 ¥8.16 / 缓存 ¥0.136 / 写入 ¥1.7 -33%

GPT 5.5

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
openai gpt-5.5 输入 ¥3.4 / 输出 ¥20.4 / 缓存 ¥0.34 / 写入 ¥0 -33%

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
zhipu glm-5.2 输入 ¥4.76 / 输出 ¥14.96 / 缓存 ¥0.884 / 写入 ¥0 0%

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
openai gpt-image-2 输入 ¥10.2 / 输出 ¥61.2 / 缓存 ¥2.55 / 写入 ¥0 0%

Opus 4.6

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
anthropic claude-opus-4.6 输入 ¥10.2 / 输出 ¥51 / 缓存 ¥1.02 / 写入 ¥20.4 0%

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.