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Comparison of Perplexity: Embed V1 4B, Intfloat: E5-Base-v2
2 modelsperplexityPerplexity: Embed V1 4BRemove ×intfloatIntfloat: E5-Base-v2Remove ×
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…The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…
DateMar 16, 2026ListedNov 22, 2023Listed
Listed rate$0.03 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window32K512
Max output28.8K460
Parameters4B—
Open weightsNot reportedSupported

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