Vancine

Access 8 Vancine models through Mastra's model router. Authentication is handled automatically using the VANCINE_API_KEY environment variable.

Learn more in the Vancine documentation.

.env

VANCINE_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: "vancine/MiniMax-M3"
});

// 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);
}

note

Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the Vancine documentation for details.

Models

8 available models

Model	Context	Tools	Reasoning	Image	Audio	Video	Input $/1M	Output $/1M
vancine/deepseek-v4-flash	1.0M						$0.22	$0.66
vancine/deepseek-v4-pro	1.0M						$0.66	$2
vancine/glm-5.3	1.0M						$1	$4
vancine/glm-5.3-flash	1.0M						$0.06	$0.20
vancine/kimi-k3	1.0M						$2	$12
vancine/MiniMax-M3	1.0M						$0.24	$0.96
vancine/qwen3.8-flash	1.0M						$0.12	$0.38
vancine/qwen3.8-max	1.0M						$2	$5

Advanced configuration

Custom headers

src/mastra/agents/my-agent.ts

const agent = new Agent({
  id: "custom-agent",
  name: "custom-agent",
  model: {
    url: "https://vancine.com/v1",
    id: "vancine/MiniMax-M3",
    apiKey: process.env.VANCINE_API_KEY,
    headers: {
      "X-Custom-Header": "value"
    }
  }
});

Dynamic model selection

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
      ? "vancine/qwen3.8-max"
      : "vancine/MiniMax-M3";
  }
});