Site descriptions, notices, and reviews are shown in the language in which they were submitted.
AliAPI 是面向开发者、团队及企业的大模型 API 中转服务平台，提供 Claude、Kiro、OpenAI 等主流模型的便捷接入服务。平台采用统一标准接口，接入简单、响应高效、计费灵活，帮助用户快速完成 AI 应用开发与模型切换。 凭借稳定的服务能力和极具竞争力的价格，OpenAI 模型低至官方价格的 0.07 倍，有效降低模型调用成本。无论是个人项目、批量任务还是企业级应用，AliAPI 都能提供便捷、稳定且高性价比的模型服务。
Price listing
GPT 5.6 Sol
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 5
4 public records are listed; open the full page to review details as needed.
Price listing
Claude Fable 5
4 public records are listed; open the full page to review details as needed.
Price listing
Claude Opus 4.8
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
Claude Sonnet 5
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 |
|---|---|---|---|---|---|---|
| Codex 福利号池 分组 | gpt-5.6-sol | 输入 ¥0.35 / 输出 ¥2.1 / 缓存 ¥0.035 / 写入 ¥0.4375 | 0% | — | — | — |
| Codex 低价号池 分组 | gpt-5.6-sol | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0.625 | 0% | — | — | — |
| Codex Plus号池 分组 | gpt-5.6-sol | 输入 ¥0.75 / 输出 ¥4.5 / 缓存 ¥0.075 / 写入 ¥0.9375 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex 福利号池 分组 | gpt-5.5 | 输入 ¥0.35 / 输出 ¥2.1 / 缓存 ¥0.035 / 写入 ¥0 | 0% | — | — | — |
| Codex 低价号池 分组 | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| Codex Plus号池 分组 | gpt-5.5 | 输入 ¥0.75 / 输出 ¥4.5 / 缓存 ¥0.075 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude kiro 缓存 90% | claude-opus-5 | 输入 ¥0.7 / 输出 ¥3.5 / 缓存 ¥0.14 / 写入 ¥1.16 | 0% | — | — | — |
| Claude kiro 缓存 99% | claude-opus-5 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.16 / 写入 ¥1.32 | -11% | — | — | — |
| Claude Kiro Aws | claude-opus-5 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.4 / 写入 ¥3.3 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude kiro 缓存 90% | claude-fable-5 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.21 / 写入 ¥2.8 | 0% | — | — | — |
| Claude kiro 缓存 99% | claude-fable-5 | 输入 ¥1.6 / 输出 ¥8 / 缓存 ¥0.24 / 写入 ¥3.2 | 0% | — | — | — |
| Claude Kiro Aws | claude-fable-5 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.6 / 写入 ¥8 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude kiro 缓存 90% | claude-opus-4-8 | 输入 ¥0.7 / 输出 ¥3.5 / 缓存 ¥0.14 / 写入 ¥1.16 | 0% | — | — | — |
| Claude kiro 缓存 99% | claude-opus-4-8 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.16 / 写入 ¥1.32 | -11% | — | — | — |
| Claude Kiro Aws | claude-opus-4-8 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.4 / 写入 ¥3.3 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex 福利号池 分组 | gpt-5.6-terra | 输入 ¥0.14 / 输出 ¥0.84 / 缓存 ¥0.035 / 写入 ¥0.175 | 0% | — | — | — |
| Codex 低价号池 分组 | gpt-5.6-terra | 输入 ¥0.2 / 输出 ¥1.2 / 缓存 ¥0.05 / 写入 ¥0.25 | 0% | — | — | — |
| Codex Plus号池 分组 | gpt-5.6-terra | 输入 ¥0.3 / 输出 ¥1.8 / 缓存 ¥0.075 / 写入 ¥0.375 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude kiro 缓存 90% | claude-sonnet-5 | 输入 ¥0.42 / 输出 ¥2.1 / 缓存 ¥0.07 / 写入 ¥0.7 | 0% | — | — | — |
| Claude kiro 缓存 99% | claude-sonnet-5 | 输入 ¥0.48 / 输出 ¥2.4 / 缓存 ¥0.08 / 写入 ¥0.8 | +33% | — | — | — |
| Claude Kiro Aws | claude-sonnet-5 | 输入 ¥1.2 / 输出 ¥6 / 缓存 ¥0.2 / 写入 ¥2 | +50% | — | — | — |
1.0 / 5 from 1 approved reviews
又封我号，余额都没用完
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.