Best embeddings model API

Combined ranking

1. 1
   Voyage AI—17 pts

   GPT #2Claude #1Gemini #2Grok #2

   Consistently tops retrieval benchmarks with voyage-3-large, offers domain-specialized models (code, finance, law) no rival matches, aggressive pricing with binary/int8 quantization options, and MongoDB backing gives it enterprise credibility

   To stay #1 Broader ecosystem integration and name recognition — it's still the pick of insiders rather than the default in tutorials, SDKs, and RAG frameworks

2. 2
   Google Gemini Embedding—15 pts

   GPT #1Claude #3Gemini #4Grok #1

   Best overall 2026 embedding API for frontier multimodal retrieval, strong multilingual/code performance, flexible 128-3072 dimensions, and a single shared space for text, image, audio, video, and PDFs

   To rank higher Publish clearer production latency, pricing, and independent retrieval benchmark results at scale

3. 3
   CCohere Embed—12 pts

   GPT #3Claude #4Gemini #1Grok #4

   Exceptional multilingual search capabilities, native support for binary/int8 compression, and specialized query-vs-document search optimizations.

   To rank higher Introduce unified native multimodal embedding options in its API.

4. 4
   OOpenAI Embeddings—11 pts

   GPT #5Claude #2Gemini #3Grok #3

   The de facto default with unmatched ecosystem support, Matryoshka dimension truncation, dirt-cheap pricing, and rock-solid reliability at massive scale

   To rank higher Refresh the model — it's aging against newer competitors on multilingual and retrieval quality, and the lack of domain-specific variants leaves quality on the table

5. 5
   JJina Embeddings—5 pts

   GPT #4Claude #5Gemini #5Grok #5

   Best open-weight/API hybrid option, strong multilingual and multimodal direction, long-context support, deployability across cloud/on-prem, and good cost-control flexibility

   To rank higher Match the operational polish, support guarantees, and benchmark consistency of the largest API providers

Rank history

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously