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ModCon 专注提供 Codex，Claude Code一站式聚合中转服务。透明计费，价格有优势。稳定、充足、高性价比。只做有良心的中转站。
Price listing
Fable 5
2 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.8
4 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
4 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
4 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Sol
4 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
4 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
4 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.6
4 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 |
|---|---|---|---|---|---|---|
| cc-max-满血官池 | claude-fable-5 | 输入 ¥16 / 输出 ¥80 / 缓存 ¥1.5 / 写入 ¥32 | -5.9% | — | — | — |
| cc-max-满血-不限客户端 | claude-fable-5 | 输入 ¥18.5 / 输出 ¥92.5 / 缓存 ¥1.8 / 写入 ¥37 | -2.6% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cc-逆向 | claude-opus-4-8 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.2 / 写入 ¥5 | -7.4% | — | — | — |
| cc-aws-反代 | claude-opus-4-8 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.3 / 写入 ¥8 | -9.1% | — | — | — |
| cc-max-满血官池 | claude-opus-4-8 | 输入 ¥8 / 输出 ¥40 / 缓存 ¥0.7 / 写入 ¥16 | -5.9% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cc-逆向 | claude-opus-4-7 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.2 / 写入 ¥5 | -7.4% | — | — | — |
| cc-aws-反代 | claude-opus-4-7 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.3 / 写入 ¥8 | -9.1% | — | — | — |
| cc-max-满血官池 | claude-opus-4-7 | 输入 ¥8 / 输出 ¥40 / 缓存 ¥0.7 / 写入 ¥16 | -5.9% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cc-逆向 | claude-sonnet-5 | 输入 ¥1 / 输出 ¥5 / 缓存 ¥0.1 / 写入 ¥2 | -9.1% | — | — | — |
| cc-aws-反代 | claude-sonnet-5 | 输入 ¥1.5 / 输出 ¥8 / 缓存 ¥0.1 / 写入 ¥3.1 | -12% | — | — | — |
| cc-max-满血官池 | claude-sonnet-5 | 输入 ¥3.1 / 输出 ¥16 / 缓存 ¥0.3 / 写入 ¥6.3 | -6.1% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-稳定 | gpt-5.6-sol | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-福利分组-不保稳 | gpt-5.6-sol | 输入 ¥0.7 / 输出 ¥4.7 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-pro-官池 | gpt-5.6-sol | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-福利分组-不保稳 | gpt-5.6-terra | 输入 ¥0.3 / 输出 ¥2.3 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-稳定 | gpt-5.6-terra | 输入 ¥0.3 / 输出 ¥1.8 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-pro-官池 | gpt-5.6-terra | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-稳定 | gpt-5.5 | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-福利分组-不保稳 | gpt-5.5 | 输入 ¥0.7 / 输出 ¥4.7 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-pro-官池 | gpt-5.5 | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| cc-逆向 | claude-opus-4-6 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.2 / 写入 ¥5 | -7.4% | — | — | — |
| cc-aws-反代 | claude-opus-4-6 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.3 / 写入 ¥8 | -9.1% | — | — | — |
| cc-max-满血官池 | claude-opus-4-6 | 输入 ¥8 / 输出 ¥40 / 缓存 ¥0.7 / 写入 ¥16 | -5.9% | — | — | — |
5.0 / 5 from 3 approved reviews
目前使用还可以，还是比较稳定的。
nice model
gpt5.5便宜用着没问题
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.