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Comparison of codestral-embed, Intfloat: E5-Base-v2
2 modelsUnknowncodestral-embedRemove ×intfloatIntfloat: E5-Base-v2Remove ×
What’s different8.2K contextThe 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…
DateOct 16, 2026DiscoveredNov 22, 2023Listed
Listed rate$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window8.2K512
Max output—460
Parameters——
Open weightsNot reportedSupported

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