voyage-multimodal-3.5 API Benchmarks, Pricing & Provider Data

Embeddings

Voyage Multimodal 3.5 is a multimodal embedding model from Voyage AI by MongoDB. It maps interleaved text and visual content into a shared embedding space for cross-modal retrieval over documents,...

Specifications

Input and output token limits for this model, plus how it ranks on long-context understanding.

INPUT

32Ktokens

≈ 38.4 pages of text

8K128K1M4M

32K

Technical Details

Input
Output
Released: Jul 2026
Documentation
Tokenizer: Other
Architecture: text+image->embeddings
Moderated: No

OpenRouter endpoints

1 endpoints

Third-party OpenRouter endpoint data, shown separately from LMSpeed measurements. Some 30-minute live performance fields only appear after syncing with an OpenRouter API key.

Provider endpoint	Input	Output	1d uptime	30m latency	30m throughput	Context / output
VoyageAI by MongoDB voyageai	$0.120/M	$0/M	100%	—	—	undefined tokens / —