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Voyage voyage-4-large

What ChatGPT, Claude, Gemini & Grok actually say · August 2026

The verdict

Voyage voyage-4-large appears in 1 AI-ranked category — best position #2 for long-context embedding apis for document rag.

GPT #2Claude Gemini Grok #2

Best conventional text-embedding API, combining leading retrieval quality, 32K context, multilingual support, selectable 256–2048 dimensions, and excellent price-performance; near-tied with Cohere Embed 4, but stronger for text-first RAG

Grok Consistently leads or near-leads retrieval quality benchmarks (MTEB/RTEB-style) with 32k context, Matryoshka dimensions, multiple quantizations, and shared embedding space across the family; domain-tuned variants available; practical for high-stakes document RAG where accuracy compounds

Where Voyage voyage-4-large falls short, per the models

  • GPT It still requires practitioners to design and maintain chunking because each chunk is embedded independently
  • Grok Context length trails Cohere; proprietary with no self-host path for the flagship

Poll history — On this board 2 of 2 polls since Aug 3 · now #2

#5#2

Top alternatives per the models: Cohere Embed 4 · Voyage voyage-3-large · Voyage voyage-context-3 · Voyage voyage-context-4

Head-to-head — how the models call it

Watch Voyage voyage-4-large

Boards re-poll weekly and the models change their minds. One short email only when Voyage voyage-4-large's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

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Voyage voyage-4-large ranks #2 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.

Voyage voyage-4-large — ranked #2 for Best long-context embedding APIs for document RAG by AI models on ModelsAgree
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Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology