Weights & Biases
Access 25 Weights & Biases models through Mastra's model router. Authentication is handled automatically using the WANDB_API_KEY environment variable.
Learn more in the Weights & Biases documentation.
.env
WANDB_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: "wandb/JetBrains/Mellum2-12B-A2.5B-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);
}
info
Mastra uses the OpenAI-compatible /chat/completions endpoint. Some provider-specific features may not be available. Check the Weights & Biases documentation for details.
ModelsDirect link to Models
| Model | Context | Tools | Reasoning | Image | Audio | Video | Input $/1M | Output $/1M |
|---|---|---|---|---|---|---|---|---|
wandb/deepseek-ai/DeepSeek-V3.1 | 161K | $0.55 | $2 | |||||
wandb/deepseek-ai/DeepSeek-V4-Flash | 1.0M | $0.14 | $0.28 | |||||
wandb/deepseek-ai/DeepSeek-V4-Pro | 1.0M | $2 | $3 | |||||
wandb/google/gemma-4-31B-it | 262K | $0.12 | $0.35 | |||||
wandb/ibm-granite/granite-4.1-8b | 131K | $0.05 | $0.10 | |||||
wandb/JetBrains/Mellum2-12B-A2.5B-Instruct | 131K | $0.05 | $0.10 | |||||
wandb/meta-llama/Llama-3.1-70B-Instruct | 128K | $0.80 | $0.80 | |||||
wandb/meta-llama/Llama-3.1-8B-Instruct | 128K | $0.22 | $0.22 | |||||
wandb/meta-llama/Llama-3.3-70B-Instruct | 128K | $0.71 | $0.71 | |||||
wandb/MiniMaxAI/MiniMax-M2.5 | 197K | $0.30 | $1 | |||||
wandb/moonshotai/Kimi-K2.5 | 262K | $0.60 | $3 | |||||
wandb/moonshotai/Kimi-K2.6 | 262K | $0.95 | $4 | |||||
wandb/moonshotai/Kimi-K2.7-Code | 262K | $0.94 | $4 | |||||
wandb/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | 262K | $0.20 | $0.80 | |||||
wandb/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B | 262K | $0.75 | $3 | |||||
wandb/openai/gpt-oss-120b | 131K | $0.04 | $0.14 | |||||
wandb/openai/gpt-oss-20b | 131K | $0.03 | $0.13 | |||||
wandb/OpenPipe/Qwen3-14B-Instruct | 33K | $0.05 | $0.22 | |||||
wandb/Qwen/Qwen3-30B-A3B-Instruct-2507 | 262K | $0.10 | $0.30 | |||||
wandb/Qwen/Qwen3-Coder-480B-A35B-Instruct | 262K | $1 | $2 | |||||
wandb/Qwen/Qwen3.5-35B-A3B | 262K | $0.25 | $1 | |||||
wandb/Qwen/Qwen3.6-27B | 262K | $0.60 | $4 | |||||
wandb/Qwen/Qwen3.6-35B-A3B | 262K | $0.25 | $1 | |||||
wandb/zai-org/GLM-5.1 | 203K | $1 | $4 | |||||
wandb/zai-org/GLM-5.2 | 262K | $1 | $4 |
Advanced configurationDirect link to Advanced configuration
Custom headersDirect link to Custom headers
src/mastra/agents/my-agent.ts
const agent = new Agent({
id: "custom-agent",
name: "custom-agent",
model: {
url: "https://api.inference.wandb.ai/v1",
id: "wandb/JetBrains/Mellum2-12B-A2.5B-Instruct",
apiKey: process.env.WANDB_API_KEY,
headers: {
"X-Custom-Header": "value"
}
}
});
Dynamic model selectionDirect link to 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
? "wandb/zai-org/GLM-5.2"
: "wandb/JetBrains/Mellum2-12B-A2.5B-Instruct";
}
});