Cohere Embed 5 Fast Beats Google EmbeddingGemma 2 on 163 Datasets
Vendors increasingly publish self-run head-to-head embeddings benchmarks, so the 95% win rate should be read as vendor-reported until independent replication appears. Teams selecting an embedding model for retrieval or RAG pipelines can weigh Embed 5 Fast against EmbeddingGemma 2 on their own data instead of relying on one-side numbers. EmbeddingGemma 2 being open-weight makes such local testing straightforward.
Cohere benchmarked its Embed 5 Fast embeddings model against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG@10. Embed 5 Fast led on more than 95% of the datasets tested. The comparison was announced by Cohere on 3 Oct 2025 via its official X account. No third-party verification or full benchmark methodology was included in the announcement.
Some strong embeddings models have been released recently. Ours is still better. We benchmarked Embed 5 Fast against Google's EmbeddingGemma 2 across 163 datasets using RCP-nDCG @10 . Embed 5 Fast leads on over 95% of them. 💬 5 🔄 0 ❤️ 12 👀 870 📊 6 ⚡
