Voyage Multimodal 3.5
What ChatGPT, Claude, Gemini & Grok actually say · August 2026
The verdict
Voyage Multimodal 3.5 appears in 1 AI-ranked category — best position #3 for multimodal embedding api for image search.
Excellent cross-modal retrieval quality for photos, screenshots, slides, tables, and interleaved image-text inputs; flexible 256–2048 dimensions, 32K context, generous free allowance, and low pixel-based pricing make it the best overall value
Gemini Achieves class-leading retrieval accuracy for interleaved visual documents, slide decks, and native video frame embeddings using a unified architecture that eliminates cross-modal alignment bias.
Where Voyage Multimodal 3.5 falls short, per the models
- GPT Closed API model with no self-hosting path, so it is not for teams requiring offline deployment or full model control
- Gemini High latency and premium pricing per token that limits suitability for massive, low-budget image retrieval systems.
Top alternatives per the models: Cohere Embed 4 · Gemini Embedding 2 · Jina Embeddings v4 · Voyage Multimodal 3
Head-to-head — how the models call it
Watch Voyage Multimodal 3.5
Boards re-poll weekly and the models change their minds. One short email only when Voyage Multimodal 3.5's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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Voyage Multimodal 3.5 ranks #3 for best multimodal embedding api for image search by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.
[](https://modelsagree.com/best/best-multimodal-embedding-api-for-image-search?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-multimodal-3-5)<a href="https://modelsagree.com/best/best-multimodal-embedding-api-for-image-search?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-multimodal-3-5"><img src="https://modelsagree.com/badge/voyage-multimodal-3-5.svg" alt="Voyage Multimodal 3.5 — ranked #3 for Best multimodal embedding API for image search by AI models on ModelsAgree" height="28"></a>Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology