ModelsAgree
← All leaderboards

Voyage Code 3

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

The verdict

Voyage Code 3 appears in 1 AI-ranked category — best position #1 for code embedding apis for repository search.

#1🤖 Best code embedding APIs for repository search4/4 models · updated 2026-08-10
GPT #2Claude #1Gemini #1Grok #1

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.

Gemini Top-tier code retrieval accuracy specifically fine-tuned for syntax, function call graphs, and technical documentation, featuring a large context window to ingest entire modules. Assumes cloud API usage is permitted.

Grok Specialized code retrieval model with consistent double-digit gains over general embeddings on large suites of code datasets (functions, docs, real repos); 32k context, Matryoshka dims + quantization for practical large-repo indexing cost/storage; proven in production code RAG/agents. Assumption: practitioner prioritizes measurable retrieval quality on actual code over pure price.

GPT Near-tie for first, with consistently elite code-retrieval quality, a 32K context window, flexible 256–2048 dimensions, mature API, and a generous 200M-token free allowance.

Where Voyage Code 3 falls short, per the models

  • GPT At $0.18/M tokens, it costs more than Codestral while lacking a clear quality advantage on repository issue-to-file retrieval.
  • Claude Commercial hosted API only with no self-host or open weights, and now tied to MongoDB's roadmap — a non-starter for air-gapped or fully on-prem code that can't leave the building.
  • Gemini Closed-source proprietary API with no self-hostable open weights, making it unsuitable for air-gapped or strict zero-data-retention environments.
  • Grok Highest per-token cost among specialists; overkill (and expensive) for tiny repos or pure keyword needs.

Poll history — #1 in all 2 polls since Aug 3

#1#1

Top alternatives per the models: Codestral Embed · Jina Code Embeddings 1.5B · OpenAI text-embedding-3-large · BGE-M3

Head-to-head — how the models call it

Watch Voyage Code 3

Boards re-poll weekly and the models change their minds. One short email only when Voyage Code 3's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

Embed your ranking badge

Voyage Code 3 ranks #1 for best code embedding apis for repository search by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

Voyage Code 3 — ranked #1 for Best code embedding APIs for repository search by AI models on ModelsAgree
Markdown (README)
[![Voyage Code 3 — ranked #1 for Best code embedding APIs for repository search by AI models on ModelsAgree](https://modelsagree.com/badge/voyage-code-3.svg)](https://modelsagree.com/best/best-code-embedding-apis-for-repository-search?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-code-3)
HTML
<a href="https://modelsagree.com/best/best-code-embedding-apis-for-repository-search?utm_source=badge&utm_medium=embed&utm_campaign=badge-voyage-code-3"><img src="https://modelsagree.com/badge/voyage-code-3.svg" alt="Voyage Code 3 — ranked #1 for Best code embedding APIs for repository 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