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cfa426 是一个面向开发者和团队的 AI 模型 API 聚合平台，提供 GPT、Claude、DeepSeek、Gemini、Qwen 等主流大模型的统一调用服务。用户可以通过一个 API Key 接入多种模型，适用于 AI 应用开发、Agent 构建、产品原型验证、接口测试和企业内部工具集成等场景。 平台支持按量计费、套餐订阅、余额充值、模型价格透明展示等功能，帮助开发者更方便地管理模型调用成本，减少多平台账号配置和接口适配成本。cfa426 致力于为开发者提供稳定、便捷、高性价比的大模型 API 接入体验。
Price listing
Opus 4.8
2 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
2 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
2 public records are listed; open the full page to review details as needed.
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GPT 5.6 Sol
7 public records are listed; open the full page to review details as needed.
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GPT 5.6 Terra
6 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
1 public records are listed; open the full page to review details as needed.
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GPT Image 2
4 public records are listed; open the full page to review details as needed.
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Opus 4.6
2 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 | claude-opus-4-8 | 输入 ¥3.5 / 输出 ¥17.5 / 缓存 ¥0 / 写入 ¥0 | -12% | — | — | — |
| claude-cc | claude-opus-4-8 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro | claude-opus-4-7 | 输入 ¥3.5 / 输出 ¥17.5 / 缓存 ¥0 / 写入 ¥0 | -12% | — | — | — |
| claude-cc | claude-opus-4-7 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro | claude-sonnet-5 | 输入 ¥1.4 / 输出 ¥7 / 缓存 ¥0.35 / 写入 ¥2.63 | -12% | — | — | — |
| claude-cc | claude-sonnet-5 | 输入 ¥1.6 / 输出 ¥8 / 缓存 ¥0.4 / 写入 ¥3 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-福利组 | gpt-5.6-sol | 输入 ¥0.45 / 输出 ¥2.7 / 缓存 ¥0.045 / 写入 ¥0 | 0% | — | — | — |
| codex | gpt-5.6-sol | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥0 | 0% | — | — | — |
| gpt | gpt-5.6-sol | 输入 ¥1.2 / 输出 ¥7.2 / 缓存 ¥0.12 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.6-terra | 输入 ¥0.54 / 输出 ¥2.7 / 缓存 ¥0.09 / 写入 ¥0 | 0% | — | — | — |
| gpt | gpt-5.6-terra | 输入 ¥0.72 / 输出 ¥3.6 / 缓存 ¥0.12 / 写入 ¥0 | 0% | — | — | — |
| gpt-enterprise | gpt-5.6-terra | 输入 ¥1.14 / 输出 ¥5.7 / 缓存 ¥0.19 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.5 | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥0 | 0% | — | — | — |
| gpt | gpt-5.5 | 输入 ¥1.2 / 输出 ¥7.2 / 缓存 ¥0.12 / 写入 ¥0 | 0% | — | — | — |
| default | gpt-5.5 | 输入 ¥2 / 输出 ¥12 / 缓存 ¥0.2 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| glm | glm-5.2 | 输入 ¥6.4 / 输出 ¥22.4 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-image-2 | ¥0.0162 / 次 | - | — | — | — |
| gpt-enterprise | gpt-image-2 | ¥0.0342 / 次 | - | — | — | — |
| default | gpt-image-2 | ¥0.036 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-kiro | claude-opus-4-6 | 输入 ¥52.5 / 输出 ¥262.5 / 缓存 ¥0 / 写入 ¥0 | +1213% | — | — | — |
| claude-cc | claude-opus-4-6 | 输入 ¥60 / 输出 ¥300 / 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.