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Comparison of Perplexity: Embed V1 4B, embeddinggemma-2
2 modelsperplexityPerplexity: Embed V1 4BRemove ×googleembeddinggemma-2Remove ×
What’s differentpplx-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…EmbeddingGemma 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,…
DateMar 16, 2026ListedOct 8, 2026Listed
Listed rate$0.03 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →0 endpoints →
Context window32K8.2K
Max output28.8K—
Parameters4B—

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