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Comparison of text-embedding-3-small, Bytedance Omnihuman V2, VoyageAI by MongoDB: voyage-4-lite
3 modelsUnknowntext-embedding-3-smallRemove ×bytedanceBytedance Omnihuman V2Remove ×voyageaiVoyageAI by MongoDB: voyage-4-liteRemove ×
What’s different8.2K contextAnimates a person from one image and supplied audio, with optional text guidance for the performance.voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048,…
DateOct 16, 2026DiscoveredOct 15, 2026ListedJul 27, 2026Listed
Listed rate$0.02 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.105/ secondfal · all routes ↗$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
Context window8.2K—32K
Max output——28.8K
Parameters———

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