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Comparison of embeddinggemma-2, Perplexity: Embed V1 4B
2 modelsgoogleembeddinggemma-2Remove ×perplexityPerplexity: Embed V1 4BRemove ×
What’s differentEmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…pplx-embed-v1 -4B is one of Perplexity's state-of-the-art text embedding models built for real-world, web-scale retrieval. pplx-embed-v1 is optimized for standard dense text retrieval with the 4B parameter…
DateOct 8, 2026ListedMar 16, 2026Listed
Listed rateSee provider quotes$0.03 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →1 endpoint →
Context window8.2K32K
Max output—28.8K
Parameters—4B

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