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Prime Inference logoPrime Inference

Access 68 Prime Inference models through Mastra's model router. Authentication is handled automatically using the PRIME_API_KEY environment variable.

Learn more in the Prime Inference documentation.

.env
PRIME_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: "prime/anthropic/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 Prime Inference documentation for details.

Models
Models的直接链接

ModelContextToolsReasoningImageAudioVideoInput $/1MOutput $/1M
prime/anthropic/claude-fable-51.0M$10$50
prime/anthropic/claude-fable-5.11.0M$10$50
prime/anthropic/claude-opus-4.61.0M$5$25
prime/anthropic/claude-opus-4.71.0M$5$25
prime/anthropic/claude-opus-4.81.0M$5$25
prime/anthropic/claude-opus-51.0M$5$25
prime/anthropic/claude-opus-5.51.0M$4$20
prime/anthropic/claude-sonnet-4.61.0M$3$15
prime/anthropic/claude-sonnet-51.0M$2$10
prime/anthropic/claude-sonnet-5.51.0M$2$10
prime/deepseek/deepseek-v4-flash1.0M$0.44$1
prime/deepseek/deepseek-v4-flash-07311.0M$0.44$1
prime/deepseek/deepseek-v4-pro1.0M$2$4
prime/deepseek/deepseek-v4.1-flash1.0M$0.30$1
prime/deepseek/deepseek-v4.1-flash-10171.0M$0.30$1
prime/google/gemini-3-flash-preview1.0M$0.50$3
prime/google/gemini-3.1-pro-preview1.0M$2$12
prime/google/gemini-3.5-flash1.0M$2$9
prime/google/gemini-3.6-flash1.0M$2$8
prime/google/gemini-3.7-flash1.0M$1$7
prime/google/gemini-3.8-flash1.0M$0.75$4
prime/google/gemini-4-argon1.0M$2$10
prime/google/gemma-3-27b-it131K$0.12$0.30
prime/meta-llama/llama-3.3-70b-instruct131K$1$2
prime/meta/muse-spark-open1.0M$1$4
prime/mistralai/mistral-large-2512262K$0.50$2
prime/mistralai/mistral-nemo131K$0.17$0.17
prime/mistralai/mistral-small-2603262K$0.17$0.66
prime/mistralai/mixtral-8x22b-instruct66K$2$7
prime/moonshotai/kimi-k2-0905262K$0.60$3
prime/moonshotai/kimi-k31.0M$3$17
prime/openai/gpt-4.11.0M$2$8
prime/openai/gpt-4.1-mini1.0M$0.40$2
prime/openai/gpt-4.1-nano1.0M$0.10$0.40
prime/openai/gpt-4o128K$3$10
prime/openai/gpt-4o-mini128K$0.15$0.60
prime/openai/gpt-5400K$1$10
prime/openai/gpt-5-mini400K$0.25$2
prime/openai/gpt-5-nano400K$0.05$0.40
prime/openai/gpt-5.1400K$1$10
prime/openai/gpt-5.2400K$2$14
prime/openai/gpt-5.3-codex400K$2$14
prime/openai/gpt-5.41.1M$3$15
prime/openai/gpt-5.4-mini400K$0.75$5
prime/openai/gpt-5.4-nano400K$0.20$1
prime/openai/gpt-5.4-pro1.1M$30$180
prime/openai/gpt-5.51.1M$5$30
prime/openai/gpt-5.6-luna1.1M$0.20$1
prime/openai/gpt-5.6-luna-pro1.1M$1$6
prime/openai/gpt-5.6-sol1.1M$5$30
prime/openai/gpt-5.6-sol-pro1.1M$5$30
prime/openai/gpt-5.6-terra1.1M$3$15
prime/openai/gpt-5.6-terra-pro1.1M$3$15
prime/openai/gpt-6-astra1.1M$10$50
prime/openai/gpt-6-luna1.1M$0.10$0.50
prime/openai/gpt-6-sol1.1M$2$10
prime/openai/gpt-6.1-sol1.1M$2$10
prime/openai/gpt-oss-120b131K$0.35$0.75
prime/openai/gpt-oss-20b131K$0.07$0.30
prime/qwen/qwen3-coder-next262K$0.30$2
prime/qwen/qwen3-vl-235b-a22b-instruct262K$0.30$2
prime/qwen/qwen3-vl-30b-a3b-instruct262K$0.20$0.70
prime/qwen/qwen3.8-27b1.0M$0.99$3
prime/x-ai/grok-4.6500K$2$6
prime/x-ai/grok-4.7500K$2$5
prime/z-ai/glm-5.21.0M$2$5
prime/z-ai/glm-5.31.0M$1$4
prime/z-ai/glm-5.3-flash1.0M$0.15$0.50
68 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.pinference.ai/api/v1",
id: "prime/anthropic/claude-fable-5",
apiKey: process.env.PRIME_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
? "prime/z-ai/glm-5.3-flash"
: "prime/anthropic/claude-fable-5";
}
});