领取账户额度
在领取额度中查看余额与奖励规则。所有模型共用额度，输入和输出都计入消耗。
从第一行代码开始
熟悉的请求格式，更轻松的接入方式。
验证邮箱并登录，即可获得一次 1,000,000 Token 注册赠额。激励广告尚未开放。
创建你的 API Key
前往 API Keys 为你的应用创建专用 Key。正式 Key 应只存放在服务端或可信客户端，不要提交到公开代码库。
发起第一次请求
选择协议并复制示例。OpenAI 地址包含 /v1，Anthropic 地址使用站点根地址；两者共用同一个 Key。
curl "https://token-faucet.top/v1/chat/completions" \
-H "Authorization: Bearer $TOKEN_FAUCET_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"kimi-k2.6","messages":[{"role":"user","content":"Hello, world!"}]}'在编程助手中使用
配置参考 · 客户端完整流程待验证
先确认账户有至少 116,000 可用 Tokens。预留余额足够才能开始请求，最终按实际用量结算。完成邮箱验证并登录后，一次性赠送 1,000,000 Tokens；广告奖励尚未开放。
OpenCode：一个提供商，全部 16 个模型
先运行 opencode --version 确认版本。把对应配置合并到项目的 opencode.json，保留已有提供商。在启动 OpenCode 的终端设置 TOKEN_FAUCET_API_KEY。v1 也可通过 /connect → Other 添加 token-faucet 并输入本站 Key。然后通过 /models 选择 Token Faucet 分组中的模型。
v1 使用 provider/npm/options；v2 使用 providers/package/settings。两套配置不能混用。配置中的 token-faucet 是提供商 ID，斜线后的部分才是模型 ID。
export TOKEN_FAUCET_API_KEY="YOUR_TOKEN_FAUCET_KEY" opencode run --model token-faucet/kimi-k2.6 "Reply only OK"
OpenCode v1 · 查看全部模型配置
{
"$schema": "https://opencode.ai/config.json",
"model": "token-faucet/kimi-k2.6",
"provider": {
"token-faucet": {
"name": "Token Faucet",
"npm": "@ai-sdk/openai-compatible",
"options": {
"baseURL": "https://token-faucet.top/v1",
"apiKey": "{env:TOKEN_FAUCET_API_KEY}"
},
"models": {
"kimi-k2.6": {
"name": "Kimi K2.6",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"kimi-k2": {
"name": "Kimi K2",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"DeepSeek-V4-Pro": {
"name": "DeepSeek V4 Pro",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"DeepSeek-V4-Flash": {
"name": "DeepSeek V4 Flash",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5.1": {
"name": "GLM 5.1",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5": {
"name": "GLM 5",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5v-turbo": {
"name": "GLM 5V Turbo",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"qwen-3.6-plus": {
"name": "Qwen 3.6 Plus",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"qwen-3.5": {
"name": "Qwen 3.5",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"minimax-m2.7": {
"name": "MiniMax M2.7",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"minimax-m2.5": {
"name": "MiniMax M2.5",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao-Seed-2.0-Code": {
"name": "Doubao Seed 2.0 Code",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao_1_6": {
"name": "Doubao 1.6",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao-Seed-Code": {
"name": "Doubao Seed Code",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"gemini-2.5-pro-latest": {
"name": "Gemini 2.5 Pro",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"gemini_2.5_flash": {
"name": "Gemini 2.5 Flash",
"attachment": false,
"reasoning": false,
"temperature": false,
"tool_call": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
}
}
}
}
}OpenCode v2 · 查看全部模型配置
{
"$schema": "https://opencode.ai/config.json",
"model": "token-faucet/kimi-k2.6",
"providers": {
"token-faucet": {
"name": "Token Faucet",
"package": "@opencode/ai/providers/openai-compatible",
"env": [
"TOKEN_FAUCET_API_KEY"
],
"settings": {
"baseURL": "https://token-faucet.top/v1"
},
"models": {
"kimi-k2.6": {
"name": "Kimi K2.6",
"family": "Kimi",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"kimi-k2": {
"name": "Kimi K2",
"family": "Kimi",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"DeepSeek-V4-Pro": {
"name": "DeepSeek V4 Pro",
"family": "DeepSeek",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"DeepSeek-V4-Flash": {
"name": "DeepSeek V4 Flash",
"family": "DeepSeek",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5.1": {
"name": "GLM 5.1",
"family": "GLM",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5": {
"name": "GLM 5",
"family": "GLM",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"glm-5v-turbo": {
"name": "GLM 5V Turbo",
"family": "GLM",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"qwen-3.6-plus": {
"name": "Qwen 3.6 Plus",
"family": "Qwen",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"qwen-3.5": {
"name": "Qwen 3.5",
"family": "Qwen",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"minimax-m2.7": {
"name": "MiniMax M2.7",
"family": "MiniMax",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"minimax-m2.5": {
"name": "MiniMax M2.5",
"family": "MiniMax",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao-Seed-2.0-Code": {
"name": "Doubao Seed 2.0 Code",
"family": "Doubao",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao_1_6": {
"name": "Doubao 1.6",
"family": "Doubao",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"Doubao-Seed-Code": {
"name": "Doubao Seed Code",
"family": "Doubao",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"gemini-2.5-pro-latest": {
"name": "Gemini 2.5 Pro",
"family": "Gemini",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
},
"gemini_2.5_flash": {
"name": "Gemini 2.5 Flash",
"family": "Gemini",
"capabilities": {
"tools": true,
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 100000,
"output": 16000
}
}
}
}
}
}Cline：OpenAI Compatible
在设置中选择 OpenAI Compatible，填入下面的 Base URL、本站 Key 和模型 ID。上下文填 100000，输出上限填 16000。图片支持、Computer Use、扩展思考和提示缓存保持关闭。若当前版本无法省略不支持的参数，请先使用基础 API 示例；该客户端尚未完成端到端认证。
Base URL: https://token-faucet.top/v1 API Key: YOUR_TOKEN_FAUCET_KEY Model ID: kimi-k2.6 Context: 100000 Max output: 16000 Images: OFF官方配置说明
Aider：自定义 OpenAI 入口
仅在启动 Aider 的终端设置下面的环境变量，模型名前加 openai/。未知模型的上下文与输出上限需要按本站限制配置。Aider 可能附带采样参数；遇到 400 请核对报错，不要反复重试。
export OPENAI_API_BASE="https://token-faucet.top/v1" export OPENAI_API_KEY="YOUR_TOKEN_FAUCET_KEY" aider --model openai/kimi-k2.6官方配置说明
当前兼容边界
使用 Chat Completions，不要选 Responses。模型均按文本输入配置：模型原生图片能力不代表本站已接入。max_tokens 可省略或设 16000（Anthropic 必须设 16000）。temperature、top_p、stop、扩展思考等参数暂不支持。OpenAI/Anthropic SDK 的文本、流式和工具流程已验证；这里的 Agent 教程是配置参考，不代表每个客户端的所有功能均可用。
常见问题
看不到模型：检查配置版本、提供商 ID 和 models 列表。401：检查本站 Key；402：可用余额不足；400：参数或图片不支持；429：降低并发；503：服务维护或暂未开放。未知用量的断流可能保留预留余额，请先核对用量，避免盲目重试。
你可能想知道
Token 是什么？和加密货币有关系吗？
这里的 Token 是模型处理文本的计量单位，不是加密货币。积分与额度只用于服务内的个人使用，不能转让、交易或提现。
现在能观看广告和调用 API 吗？
验证邮箱并登录后可领取一次 1,000,000 Token 并调用模型。激励广告仍未开放。
支持多少上下文？
上游上下文上限为 100K，由上游校验。历史、系统提示和工具定义也占用上下文；超限会报错，不会自动截断。单次请求正文最多 2 MiB。
并发和奖励额度是多少？
每账户最多 20 个并发，全站内测暂限 40 个。每次预留 116,000 Tokens，结束后仅扣实际输入与输出，释放剩余额度；奖励规则待广告接入后公布。
兼容所有 OpenAI 参数吗？
支持模型列表、Chat Completions 和 Messages 的文本、流式与工具调用。采样、图片、扩展思考和强制工具选择暂不支持。输出上限固定为 16,000，Anthropic 的 max_tokens 必须设为 16000；不支持的参数会明确报错。