Link API

生图功能更新通知 【生图功能更新通知】 如需使用 AI 生图功能，建议先更新相关 Skills，以获得更稳定、完整的生图体验。 更新与使用教程： https://docs.gs88.shop/docs/codex-image-generation 请按照教程完成更新后再进行生图任务。

生图功能更新通知 如需使用 AI 生图功能，建议先更新相关 Skills，以获得更稳定、完整的生图体验。 更新与使用教程： https://docs.gs88.shop/docs/codex-image-generation 请按照教程完成更新后再进行生图任务。

Codex could not start 近期不少用户反馈，vscode的插件codex无法使用，出现Codex could not start，导致codex无法打开。解决方案如下： 最新版本的codex有问题，要退回上一个插件的版本，并且把自动更新取消。

充值问题 充值有问题的，联系一下客服

封号处理中 当前官方正在大批量封号，当前可能不稳定，请稍等，正在处理中

重置功能解释 最近不少用户反馈： 最后一天还没过期，额度却没重置，导致无法使用。 同时也困惑，为啥月卡不到30天就过期了？ 主要原因是：月卡总共30次重置次数，兑换时计算一次，同时手动重置和凌晨重置都计算一次重置次数，即需要扣减1天。 为了帮大家秒懂，先看**以“100刀/天”为例的结论**： | 卡种 | 兑换时发放 | 后续重置次数 | 最后一天凌晨是否重置 | 总可用额度 | |------|-----------|-------------|---------------------|-----------| | **天卡（1天）** | 100刀（当天） | 0次 | ❌ 不重置 | **总共100刀** | | **周卡（7天）** | 100刀（第1天） | 重置6次（第2~7天每天凌晨） | ❌ 第7天凌晨不重置 | **总共700刀**（100×6+100） | | **月卡（30天）** | 100刀（第1天） | 重置29次（第2~30天每天凌晨） | ❌ 第30天凌晨不重置 | **总共3000刀**（100×29+100） | > **核心规律**：总次数 = 有效期天数，兑换当天给第1次，之后每天凌晨重置，直到最后一天凌晨停止。所以最后一天没新额度，但总额已经包含最后一天的量（前一天重置的额度就是给最后一天用的）。 --- #### 详细规则（结合上面结论理解） - **天卡**：兑换成功即得100刀，有效期1天，当天用完，凌晨不重置，到期失效。 - **周卡**：兑换当天得第1天100刀；之后每天凌晨重置一次（共6次），第7天凌晨不再重置，但第7天仍有额度（因为第6天重置的就是第7天的量），总额700刀。 - **月卡**：兑换当天得第1天100刀；之后每天凌晨重置（共29次），第30天凌晨不重置，但第30天仍可使用（第29天重置的额度即第30天的），总额3000刀。 > **注意**：重置是指给“下一天”补充额度，最后一天没有下一天，所以不重置，但最后一天的额度已经在昨天重置时准备好了。 --- #### 手动重置功能（紧急备用） - **作用**：清空今天已用额度，提前使用**明天**的额度（相当于预支）。 - **代价**：会扣除24小时订阅有效期（到期时间提前1天）。 - **提醒**：手动重置后当天尽快用；次日凌晨系统仍会按新有效期自动重置（但总次数不变）。 --- #### 实用建议 - 别光看到期时间，**算好剩余可用次数**更靠谱。 - 如果最后一天急需，可考虑手动重置，但注意有效期会缩短。 - 兑换时间（上午/下午）不影响总次数，只影响最后一天的有效时间。 希望这份说明能彻底解决大家的困惑。如有其他疑问，随时联系客服。祝使用愉快！

GPT-5.6 Terra 、Luna模型价格已同步官方定价 尊敬的用户： GPT-5.6系列官方调价已正式生效，本站同步更新资费标准，模型性能、服务策略维持不变。 GPT-5.6系列档位：Sol（旗舰推理）、Terra（均衡）、Luna（轻量快速） ## 降价前（7月9日发布价） | 型号 | 输入（/百万 token） | 输出（/百万 token） | | ---- | ---- | ---- | | Sol | 约 5 美元 | 约 30 美元 | | Terra | 约 2.50 美元 | 约 15 美元 | | Luna | 约 1 美元 | 约 6 美元 | ## 降价后（8月02日起执行） | 型号 | 输入（/百万 token） | 输出（/百万 token） | 降幅 | | ---- | ---- | ---- | ---- | | Sol | 约 5 美元 | 约 30 美元 | 不变 | | Terra | 约 2 美元 | 约 12 美元 | 20% | | Luna | 约 0.20 美元 | 约 1.20 美元 | 80% | 说明：本次价格调整跟随官方政策同步更新，不改动模型能力与调用规则。如有疑问，请联系客服。 运营团队 2026-08-02

Claude Opus 5 上线通知 各位用户： 即日起，平台正式支持Claude全新旗舰模型 claude-opus-5，为大家带来更强推理、长文本、代码与多任务处理能力。 一、定价说明 claude-opus-5 计费单价与 claude-opus-4.8 保持一致，无涨价； 对比 fable-5，opus-5 价格仅为其一半，性价比大幅提升。 二、两种使用方式 订阅套餐：开通 Claude 专属订阅套餐，即可直接调用 claude-opus-5； 余额充值：账户充值余额后，按需按量调用该模型，灵活消费。 模型价格如下： <img 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

定制订阅套餐服务 为满足大规模调用需求，我们现已开放企业套餐与团队套餐定制。如您的日消费超过当前订阅额度，或需更高并发支持，请联系客服进行一对一专属定制。 - 支持任意现有套餐无门槛升级 - 根据套餐体量与团队规模，弹性提升并发上限 - 用量越大，并发越高，保障业务稳定 立即联系客服，获取您的定制方案，解锁高性能 API 调用服务。

关于OpenAI旗舰模型定价及充值规则的公告 尊敬的客户： 为方便您了解最新模型成本及平台计费方式，现将 **gpt-5.6-sol、gpt-5.6-terra、gpt-5.6-luna、gpt-5.5、gpt-5.4、gpt-5.4-mini** 的官方定价（以美元计，每1M tokens）公布如下。所有模型计费均以**官方美元价格**为基准，实际人民币费用根据您的充值方式按相应倍率折算。 ## 一、模型官方价格（Standard标准服务） ### 1. 短上下文（Short context ≤ 272K tokens） | 模型 | 输入（Input） | 缓存输入（Cached input） | 缓存写入（Cache writes） | 输出（Output） | |------|--------------|--------------------------|--------------------------|---------------| | gpt-5.6-sol | $5.00 | $0.50 | $6.25 | $30.00 | | gpt-5.6-terra | $2.50 | $0.25 | $3.125 | $15.00 | | gpt-5.6-luna | $1.00 | $0.10 | $1.25 | $6.00 | | gpt-5.5 | $5.00 | $0.50 | – | $30.00 | | gpt-5.4 | $2.50 | $0.25 | – | $15.00 | | gpt-5.4-mini | $0.75 | $0.075 | – | $4.50 | > 注：`–` 表示该定价项不适用或未提供（如gpt-5.5系列不支持缓存写入）。 --- ### 2. 长上下文（Short context ≥ 272K tokens） | 模型 | 输入（Input） | 缓存输入（Cached input） | 缓存写入（Cache writes） | 输出（Output） | |------|--------------|--------------------------|--------------------------|---------------| | gpt-5.6-sol | $10.00 | $1.00 | $12.50 | $45.00 | | gpt-5.6-terra | $5.00 | $0.50 | $6.25 | $22.50 | | gpt-5.6-luna | $2.00 | $0.20 | $2.50 | $9.00 | | gpt-5.5 | $10.00 | $1.00 | – | $45.00 | | gpt-5.4 | $5.00 | $0.50 | – | $22.50 | > 注：gpt-5.4-mini 在长上下文下无定价数据，故未列入。 > 以上模型定价与近期公开报道一致——Sol每百万token输入5美元、输出30美元；Terra为2.5美元和15美元；Luna为1美元和6美元。 --- ## 二、充值规则与费用折算 平台提供两种充值方式，具体规则如下： | 充值方式 | 兑换比例 | 计费倍率（相对官方美元价格） | 说明 | |----------|----------|------------------------------|------| | **余额充值** | 1元人民币 = 5美元额度 | **0.2x**（即官方价格 × 0.2 = 人民币费用） | 您支付的1元可获得5美元账户余额，使用时按官方美元价格扣除，折算后每美元成本为0.2元。 | | **订阅充值** | 1元人民币 = 50美元额度 | **0.08x**（即官方价格 × 0.08 = 人民币费用） | 您支付的1元可获得50美元账户额度，但实际计费按官方价格的8%收取，因此**订阅费用仅为余额的40%**（0.08 vs 0.2）。 | > **重要说明**： > - 所有模型消耗均以**OpenAI官方美元价格**为准（如上表所示）。 > - 实际扣费金额 = 官方价格（美元） × 对应倍率，结果即为人民币费用。 > - 订阅方式相比余额充值可节省60%的成本，推荐高频用户选择。 --- ## 三、费用计算示例 **示例1（余额充值）** 使用 `gpt-5.6-sol` 短上下文，输出价格为 $30.00/1M tokens。 余额倍率 0.2x → 人民币费用 = 30 × 0.2 = **6.00 元/1M tokens**。 **示例2（订阅）** 使用 `gpt-5.6-terra` 长上下文，输出价格为 $22.50/1M tokens。 订阅倍率 0.08x → 人民币费用 = 22.5 × 0.08 = **1.80 元/1M tokens**。 --- ## 四、注意事项 - 以上价格均为**标准服务（Standard）**，不含批量、Flex或Priority档位。 - 缓存输入/写入价格仅在使用缓存功能时产生，请根据实际场景参考。 - 充值金额和额度长期有效，无过期限制（订阅额度使用规则请查看订阅条款）。 - 如有疑问，请联系客服：hao_2133 ## 五、官方价格参考 以上模型定价源自 OpenAI 官方文档，如需查阅完整定价信息（包含 Batch、Flex、Priority 等其他服务档位），请访问： **https://developers.openai.com/api/docs/pricing**

压缩失败解决方案 如遇到 compact 压缩失败 Error running remote compact task stream disconnected before completion: Transport error: network error: errordecoding response body 请按以下例图修改，并 重启codex 把name 改为LinkAPI <img 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n4rt89eYuwcIlIlKXd+nA3cDvzyUhIEUtUd/3dG4cab85dN9X3qDP2S/P2T5wlHHK7+9/nF1x1LisINDPT/4qfcTjvxQ6/a8bExIlIefKha758EwXvqKbnvny/f/ufCdTd4TnqzfG+GLcIjHHWk/j6E3GW/KtewqnjecFz+0cc8I293elCeeFL558P6Vzivx3PySYWZlOe4YzxvfQvtvlvhZ79QDzzA+8H3K/dkeP8gcZz65FP6nxxE5HnbWwupG6hQKFx3vfi5Txdu/CP7lcXtvDO7JaDybmYb/JBfqNL759cd4gm9TRr/mipJ0llny3/+i3jOVzljp7kv+hm2bqnyn//Kt/xJefgRyuWor0/81te1LRWF3//lbGqQvGVO3/vv2/Qp7wffT4qy+D8nqY/+m2R54Mc/4v2D6vves3jsm4hIeeifRJS76Kfqtm3czjv3n/89bvUq4Q3HFq69Xn3mWfm6G/jI6TZFk/+q3RtNUm77yaf0T36Hf8WBbLFaIuJ2brD37z3t3dqPT4+Q/+lmdccO9bHHON3iS/I99+YuvJh9xbwfeG/p9cLvrmKX4IRjjyYiz1tOlO+6W33yKfmvaeHI15r2snTKaeq2ReXhR6hQICLx859hxxcAAND7B7CgPPiQKklE5H3vqNb1L84gV+a1Kfuet52kdfQFQThmWFn4h/r8VvXZ57g9tIdVcXvvxe2zN5vcwu25Vv33Y+rz5rXnq+xeUR54kIiE447mdnkpERHHCcccVa33b0l96GHW7/Gc9GY2H4k4Tjj+2MKNNxOR8kBW32ES1g8REbfLS7lddlGfe473D7KuJ/+KV2ipbX3BZl/e8Mb8b6bVR/8tnXkWt8/eO874DOXz1NcnfvlM/WbcTjtxokhej7ptkeN4btddvR/+X2XLnPL3e4hIefoZIlLuX8gntDWLhCNfy7/y0PLH996LW7NGXVoiWS69KJ65yXvaqYUbbsx9/0fyPfdSX5/3vacKhx9mWrrHe8qI55QR9jc/uM4b/sCOyBnqY4/np69ilymENxzrvG6d846+iz/Yt+NjY+qzzxZmUvLcvQM/uYD3vaK0AV8c2OYP8cm3/InNK+N2351e3CZ974fynXepDz2sFh/Joj71lD5xfv0QERHP8wfsLz/6b271KvYkAW6fvblVA+r2JfWFF9hsfiIiWd4ROUP75Pbtpd8GNgrX38CuLOV+8CPloYeXTn1f/8UXCIe9RlsIqNGxf+GIQLHIWo/f8EyGQkHa9EWSZf5gn3jO2eXf0vl84ZpriYg/6CBl9i9ERH1e7RPTV1f2/kvz1ri1e/R96hPeU09pLLcAACsSev8AFZ4qrkFpnJBAROrWrewP/dNqObF4U2yhUH6x2DthfztfX1Ddto11+AyjlXWuT8h6fkRE/bqn6lrlkwSBPMV2gN2fWrrHt+J2VUvcmtX93/3W0ugH1G2LS+96L7vNQPxS1DTZXXjlofwrDspPXUnbFolI+kZM349n5LvuZnP3iUj86pf0vX/ieeH4Y0hV2YMRtGI+95+lkVF1aYnf/+V9Z3xMCByWv2xq+8mn9H/nm2xZIS2HL9vH9GvH+6535C68OHf2Oer2JfJ4+j7yIfZW32c/2ffZTzoptUPC4etXXfXrHR/7pPz3ezhBKP041DJWPEk4b/m+avWpp7dveKf6wgvcXnt63v1O/oD9tYXzjecAZzpM+juzhXLDrj73H3bDNFvAh4iof4DrH9B+E1Yh33mXfPsdROQ97VTP205aGv2A+tx/dnz2zFXJK7STp+H59N5Skb0W7yoKS1994QXasYOKv70Lt97GfiTI92aWPvJx/ScK117f99UvmZ4vMZC4iLxefr99ub32cngaAwC4B3r/AGbcKw5kf8h33Ol99zv1b5UGbpX75oVhbZK0fO99rBNsOY2n7r3vtBO3epW6uF3JzJOqsuFPZe5eRx8uLrvO+7QpIsr8fOnN0ox2/QpFTSEcvt47+q78L69gXX/hiID3fe8xb3PCG/j9XsYmBWmrG+luR5b/fKe6dSu3375C8VG4/Mv3M6Ugnv3lXOy7+le4vfbsv+D7aj6vPvNs4fc35X54IVsPlB9cR7Jc2cFVHnyITZ7xnh7OX34F+y3nffc7m3LgquH2XNv/y0tz3/i2d+P7nMw/KVw1o77wAieKq1JJbqed1Gee1Xr/DeEPPEDJPsit3WP1LTc4XW80n9fq2etllTNw6U92bPpC/4++Vz7BbB8B1ri+PvFbX196z0b1qad3fPbMgUsuZHkuFO+BFl7z6tIFAeW5/6iP/lvdtk2+6RbPSW/WJ6NfngsAAEzQ+wcw41++H+8fVDLzhemrpbV7eDYEScoVfn+jeOYm/tV+fv+XK4/8K3fhxdyee/KH+ORbbpNvvY2IPO8INbxavwHH8a87Qr75Vnnuntx3f+B5a1C+9Ta2EHtJ4Q835X8Y5195qHjOV7Uu3S4vZatnFq6+lttrT+GIw4UjXyv/5a/5K6f5dYcIrztC3jJXuOI3RCQcM2wagV4m9elnct+ZzP9muvSKfFd6x/+d0ff5z+jnqfPF31RM/w8N/filU06Tt8x5jj9WPPusajvS5kHpKA9kc98/X/77PcSmNr3uiL5PfpyWdix95P95Tjhe/OqXyls+/Ehu8keFq69dnb6d23ln9bHHS4PQJMuWPxWaiBNFm3KZqIuLRKTmcspchj/0kMq19usivPENhd/fqD7+hHTOt/r+73Ras0Z95F+Fm//Y9/H/q7J7VfrSV+W//Z0tNMR+F/GD61ZdfSXxvHz3Fm2zXQ2PAFP+9aik+2HmOb7xmVTCEYd7P/zB/E8S8q235S66pO9jH1G3bmW3ZwjrhwZ+88vyThf+sf2t72CTf0y9fwAAsIHeP0AFnu+PnbP0/g+p/30+/+Of5n/8U3a7oXjmJq6/X4x9fceHP64+v3XHpz5X/oR/sG/TWLP2L2761NIdf1WXlnIX/Dh3wY9JEIQjDtemxPAcW5JIvjcj35vxnHoKW8Lfc9zR7NlVOz71Obbip3juxNJ7NqpPPyN95eullLmX7dN/zleb8ytFVZX77s9f+bvCr3+rLi0REXGc58Q3yrf8SZWkwo03F26+xfPWoOfkk4RjjzZNzGgW/qADyesVDl/v2XCS58T/ke/ekjvv+9qcb1EkWdGWMf3NdO5HF7GJRurTz8g33yqddbaWZ6L8Fb9Rnnmm/1vnVFu9p82EY4+mH15Iqrq08cNsyablpOY9ZaRwzXXybbP5n/2itGw/t+da696/LEvf/A77IccfcnCf/rZgnmc/t4iI+vq41av1n1OfeJKt8apt+5KXcPvu03Ce+z79CfnmPyoP/jP33R8IgcOU7EPaIq1BQxefP+Rg/oD9lYcfKfzxVvW/z1f+OAQAAEvo/QNY4A9dt+r6q3MXXKTcO688/TS/+26lxeyFIwKrfn9N7sKLlfn71Wef4w7c33P0sPf97ynNnuePeh237z7c2rWl1IRjjuYPOZg/SBsI5w/xaU9KKvaJ+cFB7RVO2/vA9FRu8kfKwgP8Aft733tq4c93ynfdTTzP7b0XEfV9IpKTJP6Qg0uL6ng3vk99cVvhxptJUYSjXs8eeLTqhqvzP/6pvGVOffwJbt+XCYHDvKeHS/cxC0OvJknSzwbxnHC8+vzzpcXduVWrWK74gw4kIn7wUC2TAq8s/GPHZ84sPbaM5Vn8xtnCa16tPPIv6Ytfke+4kxSlcM21hWuu5dasFr/2Fc/bNzTxAPV9+gx6cRsRiV//inxPRv7jrbnv/ZCt6Sm8yt935mfZIkXq40+wxyAQkfC6I7zvf4/0la+z+6e5NWv6J7+d/8104drr5Ztv3f6mDeJXvqi/W6B1uIMOYDVZenRD+ZTweoXAYf3nfy+f2KwubheOPKLv02dIZ365dBS4A4uffYk2814IHM6Jor477nnTCerSkvZkN54f+Gk8/8srCjffqj78CK0a4Pfdl60raqI+8+yOsU1a5eyz90DiIurrU//16I7PfZH6+7lVq9StW9kt2vyBB5R+QLJ9VRaQ23UXLZ/sCbt77Kb9c0/te8Hts7f2yq67EJHw2gD3kp24l76UiLj+fvG8c9nPicJ1N3C7a5/1vPUtxt1w3o9+iF15Ux58UDgiIBy+3n6WP//KQ01fPQAAF+Kk4oISANClCvL20LuV+xf4/V++6qbrHHyg9Qry0qnvY1NuuH1f1vfh//W+d7R897CqFq6+Nn/JpfK9GTbnZ+B3V7A13RePO1F97PGBiy8Q/ud4fXps5o/3/afZz5CRvjCev+I3/ZPf9rztrcoD2aV3vKfc9ezr8xx3jPf97xGOGdb6poqy/eR3Kfcv8AcdIJ51pnDcMeri9u3Bt6tPPMkfdED/+d/j1x1Csix9I8YGxQd+cqFwgvWjZ+uyOHyC+tTTwpGvHbj8Zw427xb5Sy+TJr7Bfjf2X3Ihf+ABRESyvHj4Ueq2xfJ2Hk//+d9t7LnIAADQDTD2D9B15DvvKtx8i+ctJ/L77K089njuwh+zUXbvR6o8Cav9PIJ43jelr3zN+4HTPG88wTxpnuM8b9/gOfmt8pa5/C9+2ffR8uOc+L33Uoiov2LkdddduD3XVj74zOylO3Mv24cbWMXuXeaPeh29sI1/9SuFw9YLxx/LrTFMRyGe7//hd/O/+nXfZ87g+vu15Ym+/hU5/TfvJyLaZCRBEL/8Bc8Jx8t/+WtTuv7s1nB1111Mz9Lqft7/fR+tGpBvvU38xtnlBT0FwXt6WHnwIeI4btdd+H33FYaPNK3mBAAAvQVj/

gpt-5.6 上线通知 即日起 ，平台已支持最新模型 gpt-5.6-sol，价格与 5.5 系列一致，严格遵循官方标准。 如codex 未显示该模型，请先更新codex客户端，并手动编辑 config.toml，将 model 改为 "gpt-5.6-sol"，重启客户端，在自定义模型下对话，并查看后台确认调用是否为 gpt-5.6-sol。 配置后，**重启codex**！！！！！！ 然后**新建对话**，出现 **自定义** 则配置成功！！ <img src="data:image/png;base64,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

claude-fable-5 模型上线 好消息！Claude-Fable-5 和 Claude-Sonnet-5 模型已上线啦🎉 为了正常使用，请记得将 Claude 客户端更新到最新版（如已开启自动更新，重启客户端即可）。 新模型在响应速度和逻辑推理上均有提升，欢迎试用～ <img src="data:image/png;base64,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【7月1日 计费公告】 📅 今日起，官方计费方案如下： - **月订阅组，官方倍率下**：倍率 **0.1x ，即1元兑换10刀**（超低折扣，畅享整月） - **余额组**：**0.2x，即1元兑换5刀**（一次性购买，永久有效，不过期） 生图按分辨率定价：1K（0.05元/张）、2K（0.08元/张）、4K（0.10元/张）。 💎 我们承诺：**绝不降智**，全年无休提供 **24小时稳定可靠** 的服务。 感谢您的信任，即刻订阅，安心使用！

🔍 重要提醒：别被低价“注水”模型骗了 小伙伴们注意啦～现在网上很多“降智”山寨模型，近期出现大量低价参水或降智站点，千万别贪便宜踩坑。官方 GPT-5.5 本身很能打，近期也并无降智，那些超低价的大概率是“注水”版。 本站始终坚持原版模型输出，绝不降智，如果感觉回答不对劲，随时戳客服，我们马上处理！ 感谢理解～🙏

codex 生图教程 修改key后，请把下面的提示词，完整的发送给codex，让codex修复生图skills <img src="data:image/png;base64,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

关于断流无法链接的处理方法 鉴于近期大家偶发性出现无法连接的问题，请先参考以下流程进行排查： Reconnecting 4/5 stream disconnected before completion: error sending request for url (https://ai.as88.shop/responses) 一、先检查平台状态 请查看平台的渠道监控，确认 5.4、5.5 是否为绿色。 红色：说明平台异常，请等待恢复后再尝试连接。 绿色：说明平台运行正常，可继续按下方步骤排查本地问题。 <img src="data:image/png;base64,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

🎉 Claude 模型正式上线公告 平台现已全面接入 **Claude 系列模型**，并支持 **Claude Code 客户端** 使用，为您带来更强大的编程与对话体验。 **支持模型列表：** - Claude Opus 4.6 / 4.7 / 4.8 - 对应的 Claude Sonnet 模型 **使用方式：** - 目前 Claude 模型仅支持 **余额使用**。 - 如需体验，请先充值余额，即刻畅享全部 Claude 模型能力。 - 订阅用户暂仅可使用 Codex 模型，Claude 系列需通过余额单独调用。 **定价说明：** - Claude 模型与 Codex 余额组保持 **完全一致的定价策略**。 - 统一为 **0.2 倍官方倍率**，并支持 **官方缓存功能**。 - 所充余额 **永久有效**，无有效期限制，随充随用，安心囤量。 **亮点速览：** ✅ 官方缓存，成本更低 ✅ 0.2 倍官方倍率，高性价比 ✅ 余额永久有效，无过期烦恼 ✅ Claude Code 客户端原生支持 教程如下： windows 使用 claude 教程 https://ccn74vjyxw1z.feishu.cn/wiki/FmjIwMN3MiyL6vkU0e7cz9sJnFf?from=from_copylink mac 使用claude 教程: https://ccn74vjyxw1z.feishu.cn/wiki/T5WBwvwdBiW8RPks4k7cqwJtn3c?from=from_copylink 如果配置环境不大会配置，可以让codex 帮忙配置 感谢您一直以来的支持，现在就充值余额，体验 Claude 模型的强大能力吧！

关于部分模型下架及切换使用新模型的公告 通知： 官方已下架 GPT-5.2、GPT-5.3-Codex 等相关模型。请大家及时切换使用 GPT-5.4 或 GPT-5.5 模型，以免影响正常使用。 感谢大家配合。

官方倍率组上线通知 **公告：官方倍率组上线通知** 尊敬的用户： 官方倍率组现已正式上线，具体内容如下： * **功能说明**： * 充值余额即可永久使用 * 官方倍率支持官方缓存 * 官方定价，安全可靠 * 可申请提高并发使用 * **充值比例**： * 正常充值比例为 **1:5**（充值 1 元到账 5 刀），不渗水，满血到账 * **特别补偿**： * 为感谢用户支持，当前用户的额度将按 **1:10** 重新计算 请大家尽快查看并使用官方倍率组，享受更高效的体验！

上线模型监控 目前已上线模型监控功能，可查看当前模型的可用性情况

平台模型更新公告：GPT-5.5 已上线 以下是对公告的优化版本，可根据需要直接使用： 1. **新模型支持** 平台现已全面支持 `gpt-5.5` 模型，您可立即更新客户端进行使用。 2. **计费说明** `gpt-5.5` 的官方定价为 `gpt-5.4` 的 **2 倍**，因此 Token 消耗速度同样将是 `gpt-5.4` 的 2 倍，请合理规划用量。 3. **客户端适配** 请将 Codex CLI 或 Codex 插件升级至最新版本，并将配置文件 `config.toml` 修改为以下内容： ```toml model_provider = "OpenAI" model = "gpt-5.5" review_model = "gpt-5.5" model_reasoning_effort = "xhigh" ``` 如有疑问，请联系平台支持。

【公告】关于调整模型上下文窗口的建议 各位用户： 近期由于风控策略升级，服务成本有所上升。为在保证使用效果的前提下有效控制成本，建议您将模型的上下文窗口由 1M 调整为 400k，同时相应调整自动压缩阈值。调整后，费用将显著降低，且对实际效果影响极小。 具体修改方法如下： 编辑配置文件 `config.toml`，将原有参数： ``` model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` 修改为： ``` model_context_window = 400000 model_auto_compact_token_limit = 360000 ``` 感谢您的理解与支持！

使用教程 使用教程： https://ccn74vjyxw1z.feishu.cn/wiki/R0Wewbn5viOrfakVQhncSJGtnmb?from=from_copylink