Voyage Large 2 overview
Voyage Large 2 specs
- Model ID
anthropic/voyage-large-2- Developer
- Anthropic
- Input
- Text
- Endpoint
POST https://api.aimlapi.com/v1/embeddings
Voyage Large 2 is a high-capacity embedding model offering strong performance across general-purpose retrieval tasks.
Semantic search
Rank documents by meaning for retrieval and discovery.
RAG pipelines
Ground LLM answers in your own data via vector retrieval.
Use cases
Text embeddings for general-purpose semantic retrieval and search are a direct use case for this model.
It can also be used to produce embeddings for document similarity and matching tasks, where text is encoded into vectors for comparing related content.
A further use case is retrieval-focused applications over large text collections, including search, indexing, and RAG-style document lookup.
Voyage Large 2 API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.12 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
How to use the Voyage Large 2 API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/embeddings' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "anthropic/voyage-large-2",
"input": "The quick brown fox jumps over the lazy dog."
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "anthropic/voyage-large-2",
"input": "The quick brown fox jumps over the lazy dog."
}
response = requests.post("https://api.aimlapi.com/v1/embeddings", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/embeddings", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "anthropic/voyage-large-2",
"input": "The quick brown fox jumps over the lazy dog."
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Voyage Large 2
Voyage Large 2 FAQ
What inputs and outputs does Voyage Large 2 support?
Voyage Large 2 takes text as input and returns embedding.
When was Voyage Large 2 released?
Voyage Large 2 became available on December 13, 2025.
How much does Voyage Large 2 cost?
Voyage Large 2 costs $0.12 per 1M input tokens on AI/ML API, billed as you go with no subscription.
Who created Voyage Large 2?
Voyage Large 2 was built by Anthropic.
How do I call Voyage Large 2 on AI/ML API?
Send a request to https://api.aimlapi.com/v1/embeddings with anthropic/voyage-large-2 as the model id.
Is Voyage Large 2 available through a single API key?
Yes. Voyage Large 2 is served through AI/ML API, so the same key and endpoint format used for other models applies.
What are the main strengths of Voyage Large 2?
It is a high-capacity embedding model that offers strong performance on general-purpose retrieval tasks.
What kind of tasks is Voyage Large 2 designed for?
It is designed for general-purpose retrieval tasks.
What type of model is Voyage Large 2?
It is an embeddings model that converts text input into vector embeddings.
What is the Voyage Large 2 model ID?
Use anthropic/voyage-large-2 as the model parameter. Requests go to https://api.aimlapi.com/v1/embeddings with your AI/ML API key.