Voyage AI / voyageai/voyage-4-large
Voyage 4 Large - access through LLMTR
Voyage 4 Large is a general-purpose text embedding model built for search and retrieval. Its 32,000-token context window lets you vectorize long documents without splitting them, and it can emit 256, 512, 1024 or 2048 dimensions. It supports the input_type parameter for marking queries and documents separately, which improves hit rates in RAG stacks. int8, uint8 and binary quantization options reduce vector database cost. This is the most accurate Voyage embedding model in the catalog.
Technical specifications
| Canonical ID | voyageai/voyage-4-large |
|---|---|
| Provider | Voyage AI |
| Context window | 32,000 tokens |
| Operations | EMBEDDINGS |
| Modalities | text, embedding |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| EMBEDDINGS | INPUT_TEXT | PER_1M_TOKENS | $0.120000 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"voyageai/voyage-4-large","messages":[{"role":"user","content":"Hello"}]}'Related models
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- Voyage Context 4 voyageai/voyage-context-4
- Voyage Multimodal 3.5 voyageai/voyage-multimodal-3.5
- Voyage Rerank 2.5 voyageai/rerank-2.5
- Voyage 4 Lite voyageai/voyage-4-lite
- Voyage Finance 2 voyageai/voyage-finance-2
- Voyage Law 2 voyageai/voyage-law-2