ModelsAgree

Head-to-head

Jina Code Embeddings 1.5B vs Voyage Code 3

Voyage Code 3 leads: the AI models rank it above its rival on 1 of the 1 leaderboard they share. Based on how ChatGPT, Claude, Gemini & Grok rank both across the leaderboard they share — re-polled on demand, reasoning shown verbatim.

Jina Code Embeddings 1.5B0 wins
Voyage Code 31 win
LeaderboardJina Code Embeddings 1.5BVoyage Code 3
Best code embedding APIs for repository search#3 / 11#1 / 11

Why the models rank Jina Code Embeddings 1.5B — on best code embedding apis for repository search

Essentially tied with Voyage across a broad 25-benchmark code suite, with 32K context, task-specific query/document modes, multilingual and cross-language search, Matryoshka dimensions, and hosted or self-deployed paths.

Why the models rank Voyage Code 3 — on best code embedding apis for repository search

Purpose-built for code retrieval and consistently at or near the top of code-search benchmarks; long context, Matryoshka-style adjustable dimensions and int8/binary quantization let you trade recall for index cost, which matters at whole-repo scale; mature reranker pairing (rerank-2) and clean API. Near-tie with Codestral Embed at the top.

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Ranks from the merged 4-model leaderboards · re-polled on demand · methodology