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CodeKey 是一站式多模型 API 接入平台，支持 OpenAI、Claude、Gemini、DeepSeek 等主流模型，覆盖 AI 编程、文本对话、图像生成与多模态应用。兼容主流 API 调用方式，提供按量计费、智能线路调度、密钥管理与用量查询，让开发者更方便地接入模型、管理调用与控制成本。
Price listing
Fable 5
7 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.8
7 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
7 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
7 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
7 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
Opus 4.6
7 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 |
|---|---|---|---|---|---|---|
| Kiro.特惠分组 | claude-fable-5 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.08 / 写入 ¥1.6 | 0% | — | — | — |
| Kiro.企业高智商 | claude-fable-5 | 输入 ¥2.8 / 输出 ¥14 / 缓存 ¥0.28 / 写入 ¥5.6 | 0% | — | — | — |
| Kiro.不降智企业号池 | claude-fable-5 | 输入 ¥3.5 / 输出 ¥17.5 / 缓存 ¥0.35 / 写入 ¥7 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Kiro.特惠分组 | claude-opus-4-8 | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.8 | 0% | — | — | — |
| Kiro.企业高智商 | claude-opus-4-8 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Kiro.不降智企业号池 | claude-opus-4-8 | 输入 ¥1.75 / 输出 ¥8.75 / 缓存 ¥0.175 / 写入 ¥3.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Kiro.特惠分组 | claude-opus-4-7 | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.8 | 0% | — | — | — |
| Kiro.企业高智商 | claude-opus-4-7 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Kiro.不降智企业号池 | claude-opus-4-7 | 输入 ¥1.75 / 输出 ¥8.75 / 缓存 ¥0.175 / 写入 ¥3.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Kiro.特惠分组 | claude-sonnet-5 | 输入 ¥0.16 / 输出 ¥0.8 / 缓存 ¥0.016 / 写入 ¥0.32 | 0% | — | — | — |
| Kiro.企业高智商 | claude-sonnet-5 | 输入 ¥0.56 / 输出 ¥2.8 / 缓存 ¥0.056 / 写入 ¥1.12 | 0% | — | — | — |
| Kiro.不降智企业号池 | claude-sonnet-5 | 输入 ¥0.7 / 输出 ¥3.5 / 缓存 ¥0.07 / 写入 ¥1.4 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex.普通渠道 | gpt-5.6-sol | 输入 ¥0.4 / 输出 ¥2.4 / 缓存 ¥0.04 / 写入 ¥0.5 | 0% | — | — | — |
| Codex.稳定渠道 | gpt-5.6-sol | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0.625 | 0% | — | — | — |
| Codex.不降智特惠 | gpt-5.6-sol | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0.06 / 写入 ¥0.75 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex.普通渠道 | gpt-5.6-terra | 输入 ¥0.16 / 输出 ¥0.96 / 缓存 ¥0.016 / 写入 ¥0.2 | 0% | — | — | — |
| Codex.稳定渠道 | gpt-5.6-terra | 输入 ¥0.2 / 输出 ¥1.2 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| Codex.不降智特惠 | gpt-5.6-terra | 输入 ¥0.24 / 输出 ¥1.44 / 缓存 ¥0.024 / 写入 ¥0.3 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GLM | glm-5.2 | 输入 ¥0.8 / 输出 ¥2.8 / 缓存 ¥0.2 / 写入 ¥0 | -50% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Kiro.特惠分组 | claude-opus-4-6 | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.8 | 0% | — | — | — |
| Kiro.企业高智商 | claude-opus-4-6 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Kiro.不降智企业号池 | claude-opus-4-6 | 输入 ¥1.75 / 输出 ¥8.75 / 缓存 ¥0.175 / 写入 ¥3.5 | 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.