Voyage Large 2 Instruct overview
Voyage Large 2 Instruct specs
- Model ID
anthropic/voyage-large-2-instruct- Developer
- Anthropic
- Input
- Text
- Output
- Text
- Endpoint
POST https://api.aimlapi.com/v1/embeddings
Basic Information
Model Name: Voyage Large 2 Instruct
Model Type: Text Embedding Model
Overview:
Voyage Large 2 Instruct is an instruction-tuned, general-purpose text embedding model optimized for tasks such as clustering, classification, and retrieval. It is designed to perform exceptionally well on the Massive Text Embedding Benchmark (MTEB), ranking first in several key areas.
Key Features:
- Instruction tuning for enhanced task performance
- Optimized for clustering, classification, and retrieval
- High performance on MTEB benchmarks
- 16K context window for improved understanding
Intended Use:
Voyage Large 2 Instruct is intended for use in scenarios requiring high-quality text embeddings, such as:
- Text classification and clustering
Language Support:
The model primarily supports English but can be adapted for other languages with appropriate tuning.
Architecture:
Voyage Large 2 Instruct is based on a transformer architecture, which is commonly used in modern natural language processing tasks due to its efficiency and scalability.
Use cases
High-precision semantic search
Make document or query embeddings that enable highly accurate retrieval performance.
Generate embeddings tailored for categorizing and grouping text.
Fine-tune embedding order via high-quality vector similarity.
Voyage Large 2 Instruct 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 Instruct 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-instruct",
"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-instruct",
"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-instruct",
"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 Instruct
Voyage Large 2 Instruct FAQ
What inputs and outputs does Voyage Large 2 Instruct support?
Voyage Large 2 Instruct takes text as input and returns embedding.
When was Voyage Large 2 Instruct released?
Voyage Large 2 Instruct became available on December 13, 2025.
How much does Voyage Large 2 Instruct cost?
Voyage Large 2 Instruct costs $0.12 per 1M input tokens on AI/ML API, billed as you go with no subscription.
Who created Voyage Large 2 Instruct?
Voyage Large 2 Instruct was built by Voyage AI.
How do I call Voyage Large 2 Instruct on AI/ML API?
Send a request to https://api.aimlapi.com/v1/embeddings with anthropic/voyage-large-2-instruct as the model id.
Is Voyage Large 2 Instruct available through a single API key?
Yes. Voyage Large 2 Instruct is served through AI/ML API, so the same key and endpoint format used for other models applies.
What is Voyage Large 2 Instruct mainly used for?
It is designed for text embedding tasks.
What is the Voyage Large 2 Instruct model ID?
Use anthropic/voyage-large-2-instruct as the model parameter. Requests go to https://api.aimlapi.com/v1/embeddings with your AI/ML API key.