SiliconFlow (中國)
透過 Mastra 的模型路由器存取 47 個 SiliconFlow (中國) 模型。系統會自動使用 SILICONFLOW_CN_API_KEY 環境變數進行驗證。
詳情請參閱SiliconFlow (中國) 文件。
.env
SILICONFLOW_CN_API_KEY=your-api-key
src/mastra/agents/my-agent.ts
import { Agent } from '@mastra/core/agent'
const agent = new Agent({
id: 'my-agent',
name: 'My Agent',
instructions: 'You are a helpful assistant',
model: 'siliconflow-cn/ByteDance-Seed/Seed-OSS-36B-Instruct',
})
// Generate a response
const response = await agent.generate('Hello!')
// Stream a response
const stream = await agent.stream('Tell me a story')
for await (const chunk of stream) {
console.log(chunk)
}
資訊
Mastra 使用與 OpenAI 相容的 /chat/completions 端點。部分 Provider 專屬功能可能無法使用,詳情請參閱SiliconFlow (中國) 文件。
模型模型 的直接連結
| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
|---|---|---|---|---|---|---|---|---|
siliconflow-cn/baidu/ERNIE-4.5-300B-A47B | 131K | $0.28 | $1 | |||||
siliconflow-cn/ByteDance-Seed/Seed-OSS-36B-Instruct | 262K | $0.21 | $0.57 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-OCR | 8K | — | — | |||||
siliconflow-cn/deepseek-ai/DeepSeek-R1 | 164K | $0.50 | $2 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-V3 | 164K | $0.25 | $1 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-V3.1-Terminus | 164K | $0.27 | $1 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-V3.2 | 164K | $0.27 | $0.42 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-V4-Flash | 1.0M | $0.14 | $0.28 | |||||
siliconflow-cn/deepseek-ai/DeepSeek-V4-Pro | 1.0M | $2 | $3 | |||||
siliconflow-cn/inclusionAI/Ling-flash-2.0 | 131K | $0.14 | $0.57 | |||||
siliconflow-cn/PaddlePaddle/PaddleOCR-VL-1.5 | 16K | — | — | |||||
siliconflow-cn/Pro/deepseek-ai/DeepSeek-R1 | 164K | $0.50 | $2 | |||||
siliconflow-cn/Pro/deepseek-ai/DeepSeek-V3 | 164K | $0.25 | $1 | |||||
siliconflow-cn/Pro/deepseek-ai/DeepSeek-V3.1-Terminus | 164K | $0.27 | $1 | |||||
siliconflow-cn/Pro/deepseek-ai/DeepSeek-V3.2 | 164K | $0.27 | $0.42 | |||||
siliconflow-cn/Pro/MiniMaxAI/MiniMax-M2.5 | 192K | $0.30 | $1 | |||||
siliconflow-cn/Pro/moonshotai/Kimi-K2.5 | 262K | $0.45 | $2 | |||||
siliconflow-cn/Pro/moonshotai/Kimi-K2.6 | 262K | $0.95 | $4 | |||||
siliconflow-cn/Pro/zai-org/GLM-5 | 205K | $1 | $3 | |||||
siliconflow-cn/Pro/zai-org/GLM-5.1 | 205K | $1 | $4 | |||||
siliconflow-cn/Qwen/Qwen2.5-72B-Instruct | 33K | $0.59 | $0.59 | |||||
siliconflow-cn/Qwen/Qwen2.5-7B-Instruct | 33K | $0.05 | $0.05 | |||||
siliconflow-cn/Qwen/Qwen3-14B | 131K | $0.07 | $0.28 | |||||
siliconflow-cn/Qwen/Qwen3-235B-A22B-Thinking-2507 | 262K | $0.13 | $0.60 | |||||
siliconflow-cn/Qwen/Qwen3-30B-A3B-Instruct-2507 | 262K | $0.09 | $0.30 | |||||
siliconflow-cn/Qwen/Qwen3-32B | 131K | $0.14 | $0.57 | |||||
siliconflow-cn/Qwen/Qwen3-8B | 131K | $0.06 | $0.06 | |||||
siliconflow-cn/Qwen/Qwen3-Coder-30B-A3B-Instruct | 262K | $0.07 | $0.28 | |||||
siliconflow-cn/Qwen/Qwen3-Coder-480B-A35B-Instruct | 262K | $0.25 | $1 | |||||
siliconflow-cn/Qwen/Qwen3-VL-235B-A22B-Instruct | 262K | $0.30 | $2 | |||||
siliconflow-cn/Qwen/Qwen3-VL-235B-A22B-Thinking | 262K | $0.45 | $4 | |||||
siliconflow-cn/Qwen/Qwen3-VL-30B-A3B-Instruct | 262K | $0.29 | $1 | |||||
siliconflow-cn/Qwen/Qwen3-VL-30B-A3B-Thinking | 262K | $0.29 | $1 | |||||
siliconflow-cn/Qwen/Qwen3-VL-32B-Instruct | 262K | $0.20 | $0.60 | |||||
siliconflow-cn/Qwen/Qwen3-VL-32B-Thinking | 262K | $0.20 | $2 | |||||
siliconflow-cn/Qwen/Qwen3-VL-8B-Instruct | 262K | $0.18 | $0.68 | |||||
siliconflow-cn/Qwen/Qwen3.5-122B-A10B | 262K | $0.29 | $2 | |||||
siliconflow-cn/Qwen/Qwen3.5-27B | 262K | $0.26 | $2 | |||||
siliconflow-cn/Qwen/Qwen3.5-35B-A3B | 262K | $0.23 | $2 | |||||
siliconflow-cn/Qwen/Qwen3.5-397B-A17B | 262K | $0.29 | $2 | |||||
siliconflow-cn/Qwen/Qwen3.5-4B | 262K | — | — | |||||
siliconflow-cn/Qwen/Qwen3.5-9B | 262K | $0.22 | $2 | |||||
siliconflow-cn/Qwen/Qwen3.6-35B-A3B | 262K | $0.23 | $2 | |||||
siliconflow-cn/stepfun-ai/Step-3.5-Flash | 262K | $0.10 | $0.30 | |||||
siliconflow-cn/tencent/Hunyuan-A13B-Instruct | 131K | $0.14 | $0.57 | |||||
siliconflow-cn/zai-org/GLM-4.5-Air | 131K | $0.14 | $0.86 | |||||
siliconflow-cn/zai-org/GLM-5.2 | 1.0M | $1 | $4 |
進階設定進階設定 的直接連結
自訂標頭自訂標頭 的直接連結
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: 'custom-agent',
name: 'custom-agent',
model: {
url: 'https://api.siliconflow.cn/v1',
id: 'siliconflow-cn/ByteDance-Seed/Seed-OSS-36B-Instruct',
apiKey: process.env.SILICONFLOW_CN_API_KEY,
headers: {
'X-Custom-Header': 'value',
},
},
})
動態選擇模型動態選擇模型 的直接連結
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: 'dynamic-agent',
name: 'Dynamic Agent',
model: ({ requestContext }) => {
const useAdvanced = requestContext.task === 'complex'
return useAdvanced
? 'siliconflow-cn/zai-org/GLM-5.2'
: 'siliconflow-cn/ByteDance-Seed/Seed-OSS-36B-Instruct'
},
})