| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
rerank 2.5
Voyage AI
|
$0.05 | - | $0 | per 1M tokens |
|
Rerank 2.5 lite
Voyage AI
|
$0.02 | - | $0 | per 1M tokens |
|
Voyage 4
Voyage AI
|
$0.06 | - | $0 | per 1M tokens |
|
Voyage 4 large
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage 4 lite
Voyage AI
|
$0.02 | - | $0 | per 1M tokens |
|
Voyage code 2
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage code 3
Voyage AI
|
$0.18 | - | $0 | per 1M tokens |
|
Voyage context 3
Voyage AI
|
$0.18 | - | $0 | per 1M tokens |
|
Voyage finance 2
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage law 2
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage multilingual 2
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage multimodal 3
This model
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
|
Voyage multimodal 3.5
Voyage AI
|
$0.12 | - | $0 | per 1M tokens |
Voyage multimodal 3
The model supports screenshots of PDFs, slide decks, tables, charts, and figures, removing the need for heuristic-based parsing or OCR pipelines. In evaluations across 20 multimodal retrieval datasets, it outperforms OpenAI CLIP large and Cohere multimodal v3 by over 40% on table/figure retrieval and over 25% on document screenshot retrieval, while matching voyage-3 on pure text retrieval. Accessible via API with query and document input types for retrieval-optimized embeddings.
Overview
Multimodal embedding model that vectorizes interleaved text and images through a unified transformer encoder. Supports screenshots of PDFs, slides, tables, and figures without complex document parsing. Unlike CLIP-based models, eliminates the modality gap, enabling accurate mixed-modality retrieval across text and visual content.
Pricing
Compare Voyage multimodal 3 with other models listed in the same vendor pricing tiers and context lengths.
Standard
Batch
| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
rerank 2.5
Voyage AI
|
$0.0335 | - | $0 | per 1M tokens |
|
Rerank 2.5 lite
Voyage AI
|
$0.0134 | - | $0 | per 1M tokens |
|
Voyage 4
Voyage AI
|
$0.0402 | - | $0 | per 1M tokens |
|
Voyage 4 large
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage 4 lite
Voyage AI
|
$0.0134 | - | $0 | per 1M tokens |
|
Voyage code 2
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage code 3
Voyage AI
|
$0.1206 | - | $0 | per 1M tokens |
|
Voyage context 3
Voyage AI
|
$0.1206 | - | $0 | per 1M tokens |
|
Voyage finance 2
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage law 2
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage multilingual 2
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage multimodal 3
This model
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
|
Voyage multimodal 3.5
Voyage AI
|
$0.0804 | - | $0 | per 1M tokens |
About Voyage AI
Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.
View Company Profile