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AI8888商店最早成立于2026年2月从通用公益站转型至今，主打Codex性价比套餐，便宜，低价，多上游聚合。平台支持按量计费、套餐订阅、余额充值、模型价格透明。
Price listing
Fable 5
3 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.8
6 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
3 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Sol
3 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
3 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
3 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 |
|---|---|---|---|---|---|---|
| 余额claude kiro无缓存 | claude-fable-5 | 输入 ¥0.2 / 输出 ¥1 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| 余额Claude kiro超高缓存 | claude-fable-5 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| 余额满血CCMAX | claude-fable-5 | 输入 ¥10 / 输出 ¥50 / 缓存 ¥1 / 写入 ¥12.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | claude-opus-4-8 | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额普通分组 | claude-opus-4-8 | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额稳定分组 | claude-opus-4-8 | 输入 ¥0.02 / 输出 ¥1 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | claude-opus-4-7-thinking | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额普通分组 | claude-opus-4-7-thinking | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额稳定分组 | claude-opus-4-7-thinking | 输入 ¥0.02 / 输出 ¥1 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 余额claude kiro无缓存 | claude-sonnet-5 | 输入 ¥0.04 / 输出 ¥0.2 / 缓存 ¥0.004 / 写入 ¥0.05 | 0% | — | — | — |
| 余额Claude kiro超高缓存 | claude-sonnet-5 | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.5 | 0% | — | — | — |
| 余额满血CCMAX | claude-sonnet-5 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | gpt-5.6-sol-pro | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥1.25 | 0% | — | — | — |
| 余额普通分组 | gpt-5.6-sol-pro | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥1.25 | 0% | — | — | — |
| 余额稳定分组 | gpt-5.6-sol-pro | 输入 ¥2 / 输出 ¥12 / 缓存 ¥0.2 / 写入 ¥2.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | gpt-5.6-terra | 输入 ¥0.25 / 输出 ¥1.5 / 缓存 ¥0.025 / 写入 ¥0.3125 | 0% | — | — | — |
| 余额普通分组 | gpt-5.6-terra | 输入 ¥0.25 / 输出 ¥1.5 / 缓存 ¥0.025 / 写入 ¥0.3125 | 0% | — | — | — |
| 余额稳定分组 | gpt-5.6-terra | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0.625 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| 余额普通分组 | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| 余额稳定分组 | gpt-5.5 | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 随时挂公益 | claude-opus-4-6 | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额普通分组 | claude-opus-4-6 | 输入 ¥0.01 / 输出 ¥0.5 / 缓存 ¥0.01 / 写入 ¥0.125 | 0% | — | — | — |
| 余额稳定分组 | claude-opus-4-6 | 输入 ¥0.02 / 输出 ¥1 / 缓存 ¥0.02 / 写入 ¥0.25 | 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.