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HubCore 是面向开发者的 AI API 中转服务，提供统一接入、统一计费与统一调度能力。开发者无需分别对接多家模型供应商，即可在同一平台使用 Claude、GPT、Gemini 等主流模型。 统一接入 Claude、GPT、Gemini 等主流模型 兼容 OpenAI API 生态 支持 Codex、Claude Code、Gemini CLI 等开发工具 平台能力 多线路调度，提升可用性与访问稳定性 Token 级透明计费，用量可核对、成本可追踪 用量统计与模型自由选择，便于按场景切换与管控 适用场景 个人开发、AI 编程、Agent 应用，以及需要统一管理模型调用与成本的团队项目。
Price listing
Fable 5
5 public records are listed; open the full page to review details as needed.
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Opus 4.8
5 public records are listed; open the full page to review details as needed.
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Opus 4.7
5 public records are listed; open the full page to review details as needed.
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Sonnet 5
5 public records are listed; open the full page to review details as needed.
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GPT 5.6 Sol
4 public records are listed; open the full page to review details as needed.
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GPT 5.6 Terra
4 public records are listed; open the full page to review details as needed.
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GPT 5.5
4 public records are listed; open the full page to review details as needed.
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GLM 5.2
2 public records are listed; open the full page to review details as needed.
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GPT Image 2
1 public records are listed; open the full page to review details as needed.
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Opus 4.6
5 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-Kiro-高缓 | claude-fable-5 | 输入 ¥1.6 / 输出 ¥8 / 缓存 ¥0.16 / 写入 ¥3.2 | 0% | — | — | — |
| Claude-aws | claude-fable-5 | 输入 ¥2.8 / 输出 ¥14 / 缓存 ¥0.28 / 写入 ¥5.6 | 0% | — | — | — |
| Claude-Max | claude-fable-5 | 输入 ¥10 / 输出 ¥50 / 缓存 ¥1 / 写入 ¥20 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude-Kiro-高缓 | claude-opus-4-8 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.08 / 写入 ¥1.6 | 0% | — | — | — |
| Claude-aws | claude-opus-4-8 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Claude-Max | claude-opus-4-8 | 输入 ¥5 / 输出 ¥25 / 缓存 ¥0.5 / 写入 ¥10 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude-Kiro-高缓 | claude-opus-4-7 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.08 / 写入 ¥1.6 | 0% | — | — | — |
| Claude-aws | claude-opus-4-7 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Claude-Max | claude-opus-4-7 | 输入 ¥5 / 输出 ¥25 / 缓存 ¥0.5 / 写入 ¥10 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude-Kiro-高缓 | claude-sonnet-5 | 输入 ¥0.32 / 输出 ¥1.6 / 缓存 ¥0.032 / 写入 ¥0.64 | 0% | — | — | — |
| Claude-aws | claude-sonnet-5 | 输入 ¥0.56 / 输出 ¥2.8 / 缓存 ¥0.056 / 写入 ¥1.12 | 0% | — | — | — |
| Claude-Max | claude-sonnet-5 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥4 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex | plus | gpt-5.6-sol | 输入 ¥0.425 / 输出 ¥2.55 / 缓存 ¥0.0425 / 写入 ¥0.5313 | 0% | — | — | — |
| Codex | Pro1 | gpt-5.6-sol | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0.06 / 写入 ¥0.75 | 0% | — | — | — |
| Codex | Pro2 | gpt-5.6-sol | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥1.13 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex | plus | gpt-5.6-terra | 输入 ¥0.17 / 输出 ¥1.02 / 缓存 ¥0.017 / 写入 ¥0.2125 | 0% | — | — | — |
| Codex | Pro1 | gpt-5.6-terra | 输入 ¥0.24 / 输出 ¥1.44 / 缓存 ¥0.024 / 写入 ¥0.3 | 0% | — | — | — |
| Codex | Pro2 | gpt-5.6-terra | 输入 ¥0.36 / 输出 ¥2.16 / 缓存 ¥0.036 / 写入 ¥0.45 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex | plus | gpt-5.5 | 输入 ¥0.425 / 输出 ¥2.55 / 缓存 ¥0.0425 / 写入 ¥0 | 0% | — | — | — |
| Codex | Pro1 | gpt-5.5 | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0.06 / 写入 ¥0 | 0% | — | — | — |
| Codex | Pro2 | gpt-5.5 | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GLM | glm-5.2 | 输入 ¥2.8 / 输出 ¥9.8 / 缓存 ¥0.7 / 写入 ¥0 | 0% | — | — | — |
| 国模 | glm-5.2 | 输入 ¥3.92 / 输出 ¥12.32 / 缓存 ¥0.728 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 生图 | gpt-image-2 | ¥0.075 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude-Kiro-高缓 | claude-opus-4-6 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.08 / 写入 ¥1.6 | 0% | — | — | — |
| Claude-aws | claude-opus-4-6 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.14 / 写入 ¥2.8 | 0% | — | — | — |
| Claude-Max | claude-opus-4-6 | 输入 ¥5 / 输出 ¥25 / 缓存 ¥0.5 / 写入 ¥10 | 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.