Voyage voyage-context-3
What ChatGPT, Claude, Gemini & Grok actually say · August 2026
The verdict
Voyage voyage-context-3 appears in 1 AI-ranked category — best position #4 for long-context embedding apis for document rag.
Purpose-built for document RAG with contextualized chunk embeddings — each chunk is encoded with awareness of the surrounding document, which measurably beats naive per-chunk embedding on long documents; 32K context, strong MTEB/retrieval numbers, int8/binary + Matryoshka dims to cut storage, and reranker-2 in the same stack. Best real-world retrieval accuracy on messy long docs for the money; assumes you're fine calling a commercial API.
Where Voyage voyage-context-3 falls short, per the models
- Claude Closed API only, no self-host — a non-starter for on-prem/air-gapped or fully open-source requirements, and you're tied to Voyage's (now MongoDB-owned) roadmap and pricing.
Poll history — On this board 1 of 2 polls since Aug 3 — off it in the latest
#2 → –
Top alternatives per the models: Cohere Embed 4 · Voyage voyage-4-large · Voyage voyage-3-large · Voyage voyage-context-4
Watch Voyage voyage-context-3
Boards re-poll weekly and the models change their minds. One short email only when Voyage voyage-context-3's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.
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Voyage voyage-context-3 ranks #4 for best long-context embedding apis for document rag 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-long-context-embedding-apis-for-document-rag?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-voyage-context-3)<a href="https://modelsagree.com/best/best-long-context-embedding-apis-for-document-rag?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-voyage-context-3"><img src="https://modelsagree.com/badge/voyage-voyage-context-3.svg" alt="Voyage voyage-context-3 — ranked #4 for Best long-context embedding APIs for document RAG 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