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Comparison of Intfloat: E5-Base-v2, text-embedding-3-large
2 modelsintfloatIntfloat: E5-Base-v2Remove ×Unknowntext-embedding-3-largeRemove ×
What’s differentThe 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…8.2K context
DateNov 22, 2023ListedOct 16, 2026Discovered
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate
Provider endpoints1 endpoint →1 endpoint →
Context window5128.2K
Max output460—
Parameters——
Open weightsSupportedNot reported

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