跳到主要内容
非官方简体中文翻译,内容版权归 Mastra 所有,遵循 Apache-2.0 许可。

Opper logoOpper

Access 57 Opper models through Mastra's model router. Authentication is handled automatically using the OPPER_API_KEY environment variable.

Learn more in the Opper documentation.

.env
OPPER_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: "opper/claude-fable-5"
});

// 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);
}
备注

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

Models
Models的直接链接

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
opper/claude-fable-51.0M$10$50
opper/claude-fable-5-11.0M$10$50
opper/claude-haiku-4-5200K$1$6
opper/claude-opus-4-5200K$5$25
opper/claude-opus-4-61.0M$5$25
opper/claude-opus-4-71.0M$6$28
opper/claude-opus-4-81.0M$5$25
opper/claude-opus-51.0M$6$28
opper/claude-sonnet-4-5200K$3$17
opper/claude-sonnet-4-61.0M$3$17
opper/claude-sonnet-51.0M$2$11
opper/deepseek-v4-flash1.0M$0.25$0.66
opper/deepseek-v4-pro1.0M$2$4
opper/devstral-2512256K$0.40$2
opper/gemini-3-flash-preview1.0M$0.50$3
opper/gemini-3.1-pro-preview1.0M$2$12
opper/gemini-3.5-flash1.0M$2$9
opper/gemini-3.5-flash-lite1.0M$0.30$3
opper/gemini-3.7-flash1.0M$0.75$4
opper/gemini-3.8-flash1.0M$0.82$4
opper/gemma-4-31b-it256K$0.46$2
opper/glm-5.21.0M$2$6
opper/glm-5.31.0M$2$5
opper/glm-5.3-flash1.0M$0.20$0.50
opper/gpt-5.3-codex400K$2$14
opper/gpt-5.41.1M$3$15
opper/gpt-5.4-mini400K$0.75$5
opper/gpt-5.4-nano400K$0.20$1
opper/gpt-5.4-pro1.1M$30$180
opper/gpt-5.51.1M$5$30
opper/gpt-5.5-pro1.1M$30$180
opper/gpt-5.6-luna1.0M$0.20$1
opper/gpt-5.6-sol1.0M$5$30
opper/gpt-5.6-terra1.0M$2$12
opper/gpt-6-astra1.1M$10$50
opper/gpt-oss-120b128K$1$5
opper/gpt-oss-20b128K$0.12$0.49
opper/grok-4.31.0M$1$3
opper/grok-4.5500K$2$6
opper/grok-4.6500K$2$6
opper/grok-build-0.1256K$1$2
opper/kimi-k31.0M$3$15
opper/minimax-m2.7197K$0.70$3
opper/minimax-m31.0M$0.60$2
opper/mistral-large-2512256K$0.50$2
opper/mistral-small-2603256K$0.58$2
opper/muse-spark-1.21.0M$1$4
opper/muse-spark-1.31.0M$1$4
opper/qwen3-coder-next262K$0.58$2
opper/qwen3.6-35b-a3b262K$0.25$1
opper/qwen3.8-2.4t-a95b262K$3$6
opper/qwen3.8-27b262K$0.58$3
opper/qwen3.8-max984K$2$6
opper/sonar128K$1$1
opper/sonar-pro200K$3$15
opper/sonar-reasoning-pro128K$2$8
56 available models

Model availability, capabilities, context windows, and pricing are sourced from models.dev and may change.

Advanced configuration
Advanced configuration的直接链接

Custom headers
Custom headers的直接链接

src/mastra/agents/my-agent.ts
const agent = new Agent({
id: "custom-agent",
name: "custom-agent",
model: {
url: "https://api.opper.ai/v3/compat",
id: "opper/claude-fable-5",
apiKey: process.env.OPPER_API_KEY,
headers: {
"X-Custom-Header": "value"
}
}
});

Dynamic model selection
Dynamic model selection的直接链接

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
? "opper/sonar-reasoning-pro"
: "opper/claude-fable-5";
}
});