intfloat/e5-base-v2
Open-source E5-base-v2 embedding model (768-dim) fine-tuned for retrieval and semantic search.
Context
512
Max output
512
Input /1M
$0.10
Output /1M
—
AcceptsTextProducesEmbeddings
Providers
FastRouter routes your requests to this provider. You can also bring your own key.
ProviderInput /1MOutput /1MContextMax outputFeaturesDetails
DeepInfra
deepinfraInput /1M$0.01
Output /1M—
Context512
Max output512
Supported parameters
Request parameters you can send with this model.
Make your first API call
OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.
Replace
<FASTROUTER_API_KEY> with your key · Get your key →Installfrom openai import OpenAI
client = OpenAI(
base_url="https://api.fastrouter.ai/api/v1",
api_key="<FASTROUTER_API_KEY>",
)
embeddings = client.embeddings.create(
model="deepinfra/intfloat-e5-base-v2",
input="What is node JS?",
dimensions=4
)
print("Embeddings:", embeddings)
Frequently asked questions
Model scores sourced from ArtificialAnalysis