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钠 API 是一个统一的大语言模型（LLM）API 网关，旨在提供接入来自 ChatGPT、Claude、Gemini 等供应商的 200 多种 AI 模型的渠道。它支持对话补全（Chat Completions）、图像生成、音频处理等多种接口，并专注于提供更优的价格与稳定性。用户只需通过替换原有模型的 BASE URL（基础地址） 即可完成集成，无需订阅。其核心特性包括支持多种模型类型，并采用按需付费（Pay-as-you-go）系统。 主要优势：这个站是因为我自己要用才开的 站长自己用自己站 https://naapi.cc/stats这里显示了站长使用钠API消耗的Tokens 充值信息：1人民币：1站内额度 退款： 手续费5% 充值直到退款有效期90Day 售后：所有工单都会在24小时内得到解决 尽量用qq发工单 站内的处理可能比qq慢一点
Price listing
Fable 5
6 public records are listed; open the full page to review details as needed.
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Opus 4.8
9 public records are listed; open the full page to review details as needed.
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Opus 4.7
9 public records are listed; open the full page to review details as needed.
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Sonnet 5
7 public records are listed; open the full page to review details as needed.
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GPT 5.6 Sol
9 public records are listed; open the full page to review details as needed.
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GPT 5.6 Terra
9 public records are listed; open the full page to review details as needed.
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GPT 5.5
10 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
2 public records are listed; open the full page to review details as needed.
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Opus 4.6
9 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 |
|---|---|---|---|---|---|---|
| GPT/Claude训练数据分组 | claude-fable-5 | 输入 ¥333 / 输出 ¥1665 / 缓存 ¥333 / 写入 ¥416.25 | 0% | — | — | — |
| CCMAX特特价 | claude-fable-5 | 输入 ¥917.87 / 输出 ¥4589.33 / 缓存 ¥917.87 / 写入 ¥1147.33 | 0% | — | — | — |
| Claude OE | claude-fable-5 | 输入 ¥937 / 输出 ¥4685 / 缓存 ¥937 / 写入 ¥1171.25 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude特价 | claude-opus-4-8 | 输入 ¥18.75 / 输出 ¥93.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| GPT/Claude训练数据分组 | claude-opus-4-8 | 输入 ¥24.98 / 输出 ¥124.88 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Claude高缓存 | claude-opus-4-8 | 输入 ¥33.75 / 输出 ¥168.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude特价 | claude-opus-4-7 | 输入 ¥18.75 / 输出 ¥93.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| GPT/Claude训练数据分组 | claude-opus-4-7 | 输入 ¥24.98 / 输出 ¥124.88 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Claude高缓存 | claude-opus-4-7 | 输入 ¥33.75 / 输出 ¥168.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude特价 | claude-sonnet-5 | 输入 ¥75 / 输出 ¥375 / 缓存 ¥7.5 / 写入 ¥93.75 | 0% | — | — | — |
| CCMAX特特价 | claude-sonnet-5 | 输入 ¥275.36 / 输出 ¥1376.8 / 缓存 ¥27.54 / 写入 ¥344.2 | 0% | — | — | — |
| Claude OE | claude-sonnet-5 | 输入 ¥281.1 / 输出 ¥1405.5 / 缓存 ¥28.11 / 写入 ¥351.38 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GPT-KX | gpt-5.6-sol | 输入 ¥11.25 / 输出 ¥90 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-PRO | gpt-5.6-sol | 输入 ¥22.5 / 输出 ¥180 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| GPT-2 | gpt-5.6-sol | 输入 ¥22.5 / 输出 ¥180 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GPT-KX | gpt-5.6-terra | 输入 ¥11.25 / 输出 ¥90 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| codex-PRO | gpt-5.6-terra | 输入 ¥22.5 / 输出 ¥180 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| GPT-2 | gpt-5.6-terra | 输入 ¥22.5 / 输出 ¥180 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GPT-KX | gpt-5.5 | 输入 ¥75 / 输出 ¥450 / 缓存 ¥7.5 / 写入 ¥0 | 0% | — | — | — |
| codex-PRO | gpt-5.5 | 输入 ¥150 / 输出 ¥900 / 缓存 ¥15 / 写入 ¥0 | 0% | — | — | — |
| GPT-2 | gpt-5.5 | 输入 ¥150 / 输出 ¥900 / 缓存 ¥15 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| default | glm-5.2 | 输入 ¥160 / 输出 ¥560 / 缓存 ¥40 / 写入 ¥40 | 0% | — | — | — |
| GLM-PLAN | glm-5.2 | 输入 ¥160 / 输出 ¥560 / 缓存 ¥40 / 写入 ¥40 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| default | gpt-image-2 | ¥20 / 次 | - | — | — | — |
| GPT-Image-2独家生图渠道 | gpt-image-2 | ¥20 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Claude特价 | claude-opus-4-6 | 输入 ¥18.75 / 输出 ¥93.75 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| GPT/Claude训练数据分组 | claude-opus-4-6 | 输入 ¥24.98 / 输出 ¥124.88 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Claude高缓存 | claude-opus-4-6 | 输入 ¥33.75 / 输出 ¥168.75 / 缓存 ¥0 / 写入 ¥0 | 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.