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Comparison of Intfloat: E5-Base-v2, Krea 3 Realtime, VoyageAI by MongoDB: voyage-code-4
3 modelsintfloatIntfloat: E5-Base-v2Remove ×kreaKrea 3 RealtimeRemove ×voyageaiVoyageAI by MongoDB: voyage-code-4Remove ×
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…Edits 768×768 frames in a persistent WebSocket session; a fixed seed helps keep consecutive frames consistent.voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256...
DateNov 22, 2023ListedOct 14, 2026ListedAug 13, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes$0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
Context window512—32K
Max output460—28.8K
Parameters———
Open weightsSupportedNot reportedNot reported

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