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PackyCode 是一家可靠高效的 API 中转服务商，提供 Claude Code、Codex、Gemini 等多种服务的中转。 PackyCode 大约是24年底25年初开始活跃, 是国内比较早针对Claude Code进行优化的供应商. 这个站点与开源社区互动比较频繁, 站长在x上也非常活跃, 客服响应比较快. 随着发展, 这个站已经是很多中转站的上游供应商.
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GPT 5.6 Sol
2 public records are listed; open the full page to review details as needed.
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GPT 5.5
2 public records are listed; open the full page to review details as needed.
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Opus 5
5 public records are listed; open the full page to review details as needed.
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Claude Fable 5
3 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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Claude Opus 4.8
5 public records are listed; open the full page to review details as needed.
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GPT 5.6 Terra
2 public records are listed; open the full page to review details as needed.
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DeepSeek V4 Flash
1 public records are listed; open the full page to review details as needed.
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Kimi K3
2 public records are listed; open the full page to review details as needed.
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Grok 4.5
2 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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Claude Opus 4.6
5 public records are listed; open the full page to review details as needed.
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Claude Sonnet 5
5 public records are listed; open the full page to review details as needed.
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Claude Opus 4.7
5 public records are listed; open the full page to review details as needed.
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Claude Sonnet 4.6
5 public records are listed; open the full page to review details as needed.
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DeepSeek V4 Pro
1 public records are listed; open the full page to review details as needed.
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Gemini 3 Flash Preview
2 public records are listed; open the full page to review details as needed.
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Gemini 3.1 Pro
2 public records are listed; open the full page to review details as needed.
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Gemini 3.5 Flash
2 public records are listed; open the full page to review details as needed.
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Gemini 3.6 Flash
1 public records are listed; open the full page to review details as needed.
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GLM-4.7
1 public records are listed; open the full page to review details as needed.
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GLM-5
2 public records are listed; open the full page to review details as needed.
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GPT 5.4
2 public records are listed; open the full page to review details as needed.
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GPT-5.3 Codex
1 public records are listed; open the full page to review details as needed.
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GPT-5.4 Mini
2 public records are listed; open the full page to review details as needed.
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GPT-5.6 Luna
1 public records are listed; open the full page to review details as needed.
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Hy3
1 public records are listed; open the full page to review details as needed.
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Kimi 2.6
1 public records are listed; open the full page to review details as needed.
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Kimi K2.5
2 public records are listed; open the full page to review details as needed.
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Kimi K2.7 Code
1 public records are listed; open the full page to review details as needed.
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MiMo V2 Omni
1 public records are listed; open the full page to review details as needed.
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MiMo V2 Pro
1 public records are listed; open the full page to review details as needed.
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mimo-v2.5
1 public records are listed; open the full page to review details as needed.
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mimo-v2.5-pro
1 public records are listed; open the full page to review details as needed.
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MiniMax M2.5
1 public records are listed; open the full page to review details as needed.
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MiniMax M2.7
1 public records are listed; open the full page to review details as needed.
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MiniMax M3
1 public records are listed; open the full page to review details as needed.
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Qwen3.6 Max
1 public records are listed; open the full page to review details as needed.
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Qwen3.6 plus
1 public records are listed; open the full page to review details as needed.
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Qwen3.7 Max
1 public records are listed; open the full page to review details as needed.
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Qwen3.7 Plus
1 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 | gpt-5.6-sol | 输入 ¥2.5 / 输出 ¥15 / 缓存 ¥0.25 / 写入 ¥0 | 0% | — | — | — |
| azure-officially | gpt-5.6-sol | 输入 ¥25 / 输出 ¥150 / 缓存 ¥2.5 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.5 | 输入 ¥2.5 / 输出 ¥15 / 缓存 ¥0.25 / 写入 ¥0 | 0% | — | — | — |
| azure-officially | gpt-5.5 | 输入 ¥25 / 输出 ¥150 / 缓存 ¥2.5 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-opus-5 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| cc-sale | claude-opus-5 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.4 / 写入 ¥5 | 0% | — | — | — |
| claude-sale | claude-opus-5 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥9.38 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude-sale | claude-fable-5 | 输入 ¥15 / 输出 ¥75 / 缓存 ¥1.5 / 写入 ¥18.75 | +88% | — | — | — |
| cc | claude-fable-5 | 输入 ¥25 / 输出 ¥125 / 缓存 ¥2.5 / 写入 ¥31.25 | 0% | — | — | — |
| claude-officially | claude-fable-5 | 输入 ¥70 / 输出 ¥350 / 缓存 ¥7 / 写入 ¥87.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| sora | gpt-image-2 | ¥0.08 / 次 | - | — | — | — |
| image | gpt-image-2 | ¥0.4 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-opus-4-8 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| cc-sale | claude-opus-4-8 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.4 / 写入 ¥5 | 0% | — | — | — |
| claude-sale | claude-opus-4-8 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥9.38 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.6-terra | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | -20% | — | — | — |
| azure-officially | gpt-5.6-terra | 输入 ¥10 / 输出 ¥60 / 缓存 ¥1 / 写入 ¥0 | -20% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| deepseek-officially | deepseek-v4-flash | 输入 ¥0.25 / 输出 ¥0.5 / 缓存 ¥0.005 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| kimi-sale | kimi-k3 | 输入 ¥10 / 输出 ¥50 / 缓存 ¥1 / 写入 ¥0 | -23% | — | — | — |
| kimi-officially | kimi-k3 | 输入 ¥19 / 输出 ¥95 / 缓存 ¥1.9 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| grok-sale | grok-4.5 | 输入 ¥0.5 / 输出 ¥1.5 / 缓存 ¥0.125 / 写入 ¥0 | +150% | — | — | — |
| grok-officially | grok-4.5 | 输入 ¥5 / 输出 ¥15 / 缓存 ¥1.25 / 写入 ¥0 | +25% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| glm-sale | glm-5.2 | 输入 ¥4.4 / 输出 ¥15.4 / 缓存 ¥1.1 / 写入 ¥0 | 0% | — | — | — |
| zai-officially | glm-5.2 | 输入 ¥7.2 / 输出 ¥25.2 / 缓存 ¥1.8 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-opus-4-6 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| cc-sale | claude-opus-4-6 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.4 / 写入 ¥5 | 0% | — | — | — |
| claude-sale | claude-opus-4-6 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥9.38 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-sonnet-5 | 输入 ¥0.6 / 输出 ¥3 / 缓存 ¥0.06 / 写入 ¥0.75 | 0% | — | — | — |
| cc-sale | claude-sonnet-5 | 输入 ¥1.6 / 输出 ¥8 / 缓存 ¥0.16 / 写入 ¥2 | 0% | — | — | — |
| claude-sale | claude-sonnet-5 | 输入 ¥3 / 输出 ¥15 / 缓存 ¥0.3 / 写入 ¥3.75 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-opus-4-7 | 输入 ¥1.5 / 输出 ¥7.5 / 缓存 ¥0.15 / 写入 ¥1.88 | 0% | — | — | — |
| cc-sale | claude-opus-4-7 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.4 / 写入 ¥5 | 0% | — | — | — |
| claude-sale | claude-opus-4-7 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥9.38 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| aws-q | claude-sonnet-4-6 | 输入 ¥0.9 / 输出 ¥4.5 / 缓存 ¥0.09 / 写入 ¥1.13 | 0% | — | — | — |
| cc-sale | claude-sonnet-4-6 | 输入 ¥2.4 / 输出 ¥12 / 缓存 ¥0.24 / 写入 ¥3 | 0% | — | — | — |
| claude-sale | claude-sonnet-4-6 | 输入 ¥4.5 / 输出 ¥22.5 / 缓存 ¥0.45 / 写入 ¥5.63 | +88% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| deepseek-officially | deepseek-v4-pro | 输入 ¥3 / 输出 ¥6 / 缓存 ¥0.025 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini-slb | gemini-3-flash-preview | 输入 ¥1.5 / 输出 ¥9 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| gemini-officially | gemini-3-flash-preview | 输入 ¥3.5 / 输出 ¥21 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini-slb | gemini-3.1-pro-preview | 输入 ¥6 / 输出 ¥36 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| gemini-officially | gemini-3.1-pro-preview | 输入 ¥14 / 输出 ¥84 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini-slb | gemini-3.5-flash | 输入 ¥4.5 / 输出 ¥27 / 缓存 ¥0.45 / 写入 ¥0 | 0% | — | — | — |
| gemini-officially | gemini-3.5-flash | 输入 ¥10.5 / 输出 ¥63 / 缓存 ¥1.05 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| gemini-officially | gemini-3.6-flash | 输入 ¥10.5 / 输出 ¥52.5 / 缓存 ¥1.05 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| zai-officially | glm-4.7 | 输入 ¥3.6 / 输出 ¥14.4 / 缓存 ¥0.72 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | glm-5 | 输入 ¥2 / 输出 ¥9 / 缓存 ¥0.4 / 写入 ¥0 | 0% | — | — | — |
| zai-officially | glm-5 | 输入 ¥3.6 / 输出 ¥16.2 / 缓存 ¥0.72 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.4 | 输入 ¥1.25 / 输出 ¥7.5 / 缓存 ¥0.125 / 写入 ¥0 | 0% | — | — | — |
| azure-officially | gpt-5.4 | 输入 ¥12.5 / 输出 ¥75 / 缓存 ¥1.25 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| azure-officially | gpt-5.3-codex | 输入 ¥8.75 / 输出 ¥70 / 缓存 ¥0.875 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex | gpt-5.4-mini | 输入 ¥0.375 / 输出 ¥2.25 / 缓存 ¥0.0375 / 写入 ¥0 | 0% | — | — | — |
| azure-officially | gpt-5.4-mini | 输入 ¥3.75 / 输出 ¥22.5 / 缓存 ¥0.375 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| azure-officially | gpt-5.6-luna | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| hunyuan-officially | hy3 | 输入 ¥0.8 / 输出 ¥3.2 / 缓存 ¥0.2 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| kimi-officially | kimi-k2.6 | 输入 ¥6.17 / 输出 ¥25.65 / 缓存 ¥1.04 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | kimi-k2.5 | 输入 ¥2 / 输出 ¥10.5 / 缓存 ¥0.35 / 写入 ¥0 | 0% | — | — | — |
| kimi-officially | kimi-k2.5 | 输入 ¥3.8 / 输出 ¥19.95 / 缓存 ¥0.665 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| kimi-officially | kimi-k2.7-code | 输入 ¥6.17 / 输出 ¥25.65 / 缓存 ¥1.24 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| mimo-officially | mimo-v2-omni | 输入 ¥2.24 / 输出 ¥11.2 / 缓存 ¥0.448 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| mimo-officially | mimo-v2-pro | 输入 ¥5.6 / 输出 ¥16.8 / 缓存 ¥1.12 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| mimo-officially | mimo-v2.5 | 输入 ¥0.8 / 输出 ¥1.6 / 缓存 ¥0.016 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| mimo-officially | mimo-v2.5-pro | 输入 ¥2.4 / 输出 ¥4.8 / 缓存 ¥0.0199 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | minimax-m2.5 | 输入 ¥1.05 / 输出 ¥4.2 / 缓存 ¥0.105 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | MiniMax-M2.7 | 输入 ¥1.05 / 输出 ¥4.2 / 缓存 ¥0.21 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| minimax-officially | MiniMax-M3 | 输入 ¥2.1 / 输出 ¥8.4 / 缓存 ¥0.42 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | qwen3.6-max-preview | 输入 ¥4.5 / 输出 ¥27 / 缓存 ¥0.45 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | qwen3.6-plus | 输入 ¥1 / 输出 ¥6 / 缓存 ¥0.1 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | qwen3.7-max | 输入 ¥6 / 输出 ¥18 / 缓存 ¥1.2 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| bailian | qwen3.7-plus | 输入 ¥1 / 输出 ¥4 / 缓存 ¥0.2 / 写入 ¥0 | 0% | — | — | — |
Codex 分组 下的 Luna 模型 现已 暂时下架 , 该模型将不再可访问， 恢复时间待定 。 如您此前依赖该模型进行业务调用, 请及时调整方案或迁移至其他可用模型, 以免影响正常使用。 如有疑问, 可联系客服进一步咨询。 PackyAPI 团队
Gemini 画图功能（仅图像编辑）正在进行维护，期间相关接口暂不可用，恢复时间另行通知。 维护期间建议使用其他支持画图的模型分组，给您带来不便，敬请谅解。 PackyAPI 团队
Claude-Sale 分组 与 CC-Expensive 分组 现已恢复服务。 同步调整后, Claude-Sale 分组倍率 更改为 1.5X 计费 。后续如有变动将另行通知。 PackyAPI 团队
经排查, DeepSeek 分组中部分请求的缓存计费出现异常, 相关费用已全部返还至各用户账户余额 。 感谢各位用户的耐心与理解, 如有疑问请联系客服处理。 PackyAPI 团队
Qwen3.8-Max 已在 bailian 分组 上线 模型介绍：2.4 万亿参数 MoE 旗舰模型，拥有强劲代码、视觉理解与文本生成能力，可独立完成项目开发，适配多领域专业任务，支持超长文档与长视频解析，支持复杂任务自主规划迭代 感谢大家一直以来的理解与支持！ PackyAPI 团队
3.5 / 5 from 2 approved reviews
不错 很稳很好用的经常买，希望多优化一些模型
用的aws-q分组，便宜是真便宜，但是模型检测用了一段时间之后就不知道给路由到什么模型去了
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.