Cohere Embed English v3 (Bedrock)
Cohere Embed English v3 (Bedrock) costs $0.1 per 1M input tokens on LLM API and returns 1024-dimension vectors, with a 512-token input limit.
Pricing
Served by AWS Bedrock, the only provider.
| Input | $0.1 | per 1M tokens |
|---|
Specifications
- Dimensions1024
- Max input512 tokens
Call Cohere Embed English v3 (Bedrock)
POST /v1/embeddingsSet LLMAPI_KEY to your LLM API key.Embeddings docs
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmapi.ai/v1",
api_key=os.environ["LLMAPI_KEY"],
)
result = client.embeddings.create(model="cohere.embed-english-v3", input="Hello")
print(len(result.data[0].embedding))import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llmapi.ai/v1",
apiKey: process.env.LLMAPI_KEY,
});
const result = await client.embeddings.create({ model: "cohere.embed-english-v3", input: "Hello" });
console.log(result.data[0].embedding.length);curl https://api.llmapi.ai/v1/embeddings \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "cohere.embed-english-v3", "input": "Hello"}'More from Cohere
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