ModelCards

voyage-4-large

Embedding modelCard summarized

The best general-purpose and multilingual retrieval quality.

Source: Voyage 4 model family launch post (no model card published)

Use it via API

$0.12 / 1M tok

Where to call it

  • Voyage AI APIvoyage-4-large

Supports

  • Batch API
Full feature support

Good for

  • General-purpose and multilingual retrieval at the highest Voyage 4 quality
  • Indexing documents once with large while serving queries from a cheaper Voyage 4 model (asymmetric retrieval)
  • Storage savings via 256–2048 dims and int8/binary outputs

Overview

Voyage AI · 01Large, front

voyage-4-large

The best general-purpose and multilingual retrieval quality.

Typical price
$0.12 / 1M tok
Text input
Dimensions
1024 default
Max input
32,000 tokens
Modes
text embeddings, multilingual retrieval
Released
15 Jan 2026

voyage-4-large is the top model of the Voyage 4 text embedding family (voyage-4-large, voyage-4, voyage-4-lite and open-weights voyage-4-nano). Voyage calls it the first production-grade embedding model to use a mixture-of-experts architecture. All Voyage 4 models write into one shared embedding space, so documents indexed with voyage-4-large can be searched with queries from a smaller model. launch post

voyage-4-large
Typical price
$0.12 / 1M tok
Dimensions
1024 default (can be set to 256, 512 or 2048)
Max input
32,000 tokens
Languages
Multilingual (languages not listed)
Weights
Closed
Released
15 Jan 2026
  • text embeddings
  • multilingual retrieval