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AIMZ 是面向企业与开发者的 AI 聚合网关。告别官方无法订阅问题，封号问题，比官方至少便宜90%。 统一接入 Claude、GPT、Gemini 及国产大模型 —— 享受渠道优惠价，多通道冗余保障 99.9% 可用性。充值最高可打8折，适合高频使用！
Price listing
Opus 4.8
7 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
6 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
7 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Sol
6 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
6 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
7 public records are listed; open the full page to review details as needed.
Price listing
GPT Image 2
7 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.6
6 public records are listed; open the full page to review details as needed.
Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | claude-opus-4-8 | 输入 ¥1.25 / 输出 ¥6.25 / 缓存 ¥0.125 / 写入 ¥1.56 | 0% | — | — | — |
| claude 混合渠道（2） | claude-opus-4-8 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| codex | claude-opus-4-8 | 输入 ¥1.75 / 输出 ¥8.75 / 缓存 ¥0.175 / 写入 ¥2.19 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | claude-opus-4-7 | 输入 ¥1.25 / 输出 ¥6.25 / 缓存 ¥0.125 / 写入 ¥0 | 0% | — | — | — |
| claude 混合渠道（2） | claude-opus-4-7 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥0 | 0% | — | — | — |
| claude max 1 | claude-opus-4-7 | 输入 ¥3 / 输出 ¥15 / 缓存 ¥0.3 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | claude-sonnet-5 | 输入 ¥0.75 / 输出 ¥3.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| claude 混合渠道（2） | claude-sonnet-5 | 输入 ¥0.9 / 输出 ¥4.5 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex | claude-sonnet-5 | 输入 ¥1.05 / 输出 ¥5.25 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | gpt-5.6-sol | 输入 ¥1.25 / 输出 ¥7.5 / 缓存 ¥0.125 / 写入 ¥0 | 0% | — | — | — |
| claude 混合渠道（2） | gpt-5.6-sol | 输入 ¥1.5 / 输出 ¥9 / 缓存 ¥0.15 / 写入 ¥0 | 0% | — | — | — |
| codex | gpt-5.6-sol | 输入 ¥1.75 / 输出 ¥10.5 / 缓存 ¥0.175 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | gpt-5.6-terra | 输入 ¥0.625 / 输出 ¥3.75 / 缓存 ¥0.0625 / 写入 ¥0 | 0% | — | — | — |
| claude 混合渠道（2） | gpt-5.6-terra | 输入 ¥0.75 / 输出 ¥4.5 / 缓存 ¥0.075 / 写入 ¥0 | 0% | — | — | — |
| codex | gpt-5.6-terra | 输入 ¥0.875 / 输出 ¥5.25 / 缓存 ¥0.0875 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | gpt-5.5 | 输入 ¥1.25 / 输出 ¥7.5 / 缓存 ¥0.125 / 写入 ¥0.875 | 0% | — | — | — |
| claude 混合渠道（2） | gpt-5.5 | 输入 ¥1.5 / 输出 ¥9 / 缓存 ¥0.15 / 写入 ¥1.05 | 0% | — | — | — |
| codex | gpt-5.5 | 输入 ¥1.75 / 输出 ¥10.5 / 缓存 ¥0.175 / 写入 ¥1.23 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | gpt-image-2 | ¥0.02 / 次 | - | — | — | — |
| claude 混合渠道（2） | gpt-image-2 | ¥0.024 / 次 | - | — | — | — |
| codex | gpt-image-2 | ¥0.028 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude 混合渠道（1） | claude-opus-4-6 | 输入 ¥1.25 / 输出 ¥6.25 / 缓存 ¥0.125 / 写入 ¥1.25 | 0% | — | — | — |
| claude 混合渠道（2） | claude-opus-4-6 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.5 | 0% | — | — | — |
| claude max 1 | claude-opus-4-6 | 输入 ¥3 / 输出 ¥15 / 缓存 ¥0.3 / 写入 ¥3 | 0% | — | — | — |
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.