Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Input
No modalities listed.
Output
No modalities listed.
Core latency and throughput trends from recent traffic.
Latency
Throughput
Uptime
Start calling this model with endpoint-specific examples.
Choose a supported endpoint, pick a main language, then select the example style you want to copy.
import AIStats from '@ai-stats/sdk';
const client = new AIStats({
apiKey: process.env.AI_STATS_API_KEY,
});
const response = await client.generateEmbedding({
"model": "qwen/text-embedding-v4",
"input": [
"Route requests across providers with AI Stats.",
"Monitor latency, throughput, and spend in real time."
]
});
console.log(JSON.stringify(response, null, 2));Select a route to update the request snippet and compatibility details.
/v1/embeddings