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透明定价，无隐藏费用。按量付费，用多少付多少。
| 型号 | 输入 | 输出 |
|---|---|---|
deepseek-v4.1-flash | 2.2857Credits(~¥0.2286)/M | - |
qwen3.8-max | 13.7143Credits(~¥1.3714)/M | 41.1429Credits(~¥4.1143)/M |
kimi-k3 | 24Credits(~¥2.4)/M | 120Credits(~¥12)/M |
kimi-k2.7-code-highspeed | - | - |
glm-5.2 | - | - |
qwen3.6-plus | - | - |
qwen3.7-plus | - | - |
step-3.7-flash | - | - |
minimax-m2.7 | - | - |
kimi-k2.7-code | - | - |
minimax-m3 | - | - |
qwen3.6-flash | 8Credits(~¥0.8)/M | 8Credits(~¥0.8)/M |
mimo-v2.5-pro | - | - |
kimi-k2.6 | - | - |
qwen3.7-max | - | - |
deepseek-v4-pro | 10.2857Credits(~¥1.0286)/M | 30.8571Credits(~¥3.0857)/M |
deepseek-v4-flash | 3.4286Credits(~¥0.3429)/M | 10.2857Credits(~¥1.0286)/M |
glm-5.1 | 8Credits(~¥0.8)/M | 14.4Credits(~¥1.44)/M |
deepseek-ocr | 0.456Credits(~¥0.0456)/M | 2.052Credits(~¥0.2052)/M |
glm-4.6 | 3.6Credits(~¥0.36)/M | 14.4Credits(~¥1.44)/M |
minimax-m2.1 | 2.16Credits(~¥0.216)/M | 8.64Credits(~¥0.864)/M |
kimi-k2-thinking | 4Credits(~¥0.4)/M | 16.8Credits(~¥1.68)/M |
deepseek-v3.2-exp | 2.056Credits(~¥0.2056)/M | 3.084Credits(~¥0.3084)/M |
deepseek-v3.1-terminus | 4.08Credits(~¥0.408)/M | 12.24Credits(~¥1.224)/M |
kimi-k2-instruct | 4Credits(~¥0.4)/M | 16.8Credits(~¥1.68)/M |
glm-4.7 | 4Credits(~¥0.4)/M | 16.8Credits(~¥1.68)/M |
deepseek-r1-0528 | 4.08Credits(~¥0.408)/M | 12.3216Credits(~¥1.2322)/M |
minimax-m2.5 | 2.4Credits(~¥0.24)/M | 9.6Credits(~¥0.96)/M |
glm-5 | 8Credits(~¥0.8)/M | 12.8Credits(~¥1.28)/M |
kimi-k2.5 | 4.112Credits(~¥0.4112)/M | 5.5512Credits(~¥0.5551)/M |
deepseek-v3.2-think | 4.48Credits(~¥0.448)/M | 13.44Credits(~¥1.344)/M |
o4-mini-2025-04-16 | 8.8Credits(~¥0.88)/M | 35.2Credits(~¥3.52)/M |
o1-mini-2024-09-12 | 8.8Credits(~¥0.88)/M | 35.2Credits(~¥3.52)/M |
o3-mini-2025-01-31 | 8.8Credits(~¥0.88)/M | 35.2Credits(~¥3.52)/M |
deepseek-v3.2 | 2.056Credits(~¥0.2056)/M | 3.084Credits(~¥0.3084)/M |
o1-2024-12-17 | 120Credits(~¥12)/M | 480Credits(~¥48)/M |
qwen-turbo | 2.4Credits(~¥0.24)/M | 24Credits(~¥2.4)/M |
deepseek-r1-250528 | 4.48Credits(~¥0.448)/M | 17.92Credits(~¥1.792)/M |
deepseek-v3-0324 | 2.056Credits(~¥0.2056)/M | 8.224Credits(~¥0.8224)/M |
o3-2025-04-16 | 16Credits(~¥1.6)/M | 64Credits(~¥6.4)/M |
text-embedding-ada-002 | 0.8Credits(~¥0.08)/M | 0.8Credits(~¥0.08)/M |
text-embedding-3-small | 0.16Credits(~¥0.016)/M | 0.16Credits(~¥0.016)/M |
text-embedding-3-large | 1.04Credits(~¥0.104)/M | 1.04Credits(~¥0.104)/M |
o4-mini | 8.8Credits(~¥0.88)/M | 35.2Credits(~¥3.52)/M |
o3-mini | 8.8Credits(~¥0.88)/M | 35.2Credits(~¥3.52)/M |
o1 | 120Credits(~¥12)/M | 480Credits(~¥48)/M |
deepseek-v3 | 2.24Credits(~¥0.224)/M | 8.96Credits(~¥0.896)/M |
deepseek-r1 | 4.48Credits(~¥0.448)/M | 17.92Credits(~¥1.792)/M |
* 实际费用以最终输出为准。
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更快
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成本节省
文本模型 API 特性
为新上架或暂未分类的语言模型提供灵活入口
统一聊天 API
快速上架模型
直达模型链接
价格透明
兼容 SDK
便于扩展
稳定接入
灵活模型选择
文本模型应用场景
评估和上线更多语言模型的常见方式
模型评测
内容生成
开发测试
内部自动化
多语言处理
客服与助手
开始使用文本模型
几分钟内开始测试更多 LLM
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生成 API Key
在仪表盘中创建用于鉴权请求的 API Key。
测试模型
使用 playground，或通过 chat completions API 集成。
常见问题
关于文本模型接入的常见问题
这个页面会展示哪些模型？
这里用于展示暂未拥有独立系列页的文本生成和聊天模型。
可以直接跳转到指定模型吗？
可以。模型链接可携带 id 参数，打开页面时会直接定位到对应模型。
价格如何计算？
价格取决于所选模型，页面中的价格表会展示对应计费信息。
是否兼容常见 LLM SDK？
许多文本模型支持 OpenAI 兼容的 chat completions 调用方式，接入前请查看具体模型信息。
相关模型
探索同类型的其他模型。
Kimi K3
Kimi-K3 is a next-generation large language model launched by Moonshot AI. It features ultra-long context, multimodal understanding, and strong coding capabilities, making it suitable for complex reasoning, software development, knowledge analysis, and agent automation tasks.
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Mimo V2.5 Pro
Xiaomi has launched a high-performance large language model that enhances reasoning, coding, and multitasking capabilities, making it suitable for complex analysis, programming, and agent-based scenarios.
Qwen 3.7 Max
Launched by Alibaba Cloud Tongyi Qianwen, this flagship large language model features enhanced capabilities in reasoning, coding, and handling complex tasks, making it suitable for enterprise-level applications, chatbots, and high-difficulty task scenarios.
Kimi K2.6
A general-purpose large language model launched by Moonshot AI, featuring strong reasoning, coding, and agent capabilities, making it suitable for handling complex tasks.