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Comparison of text-embedding-3-small, Bytedance Omnihuman V2, Nemotron-3-Embed-1B-BF16
3 modelsUnknowntext-embedding-3-smallRemove ×bytedanceBytedance Omnihuman V2Remove ×nvidiaNemotron-3-Embed-1B-BF16Remove ×
What’s different8.2K contextAnimates a person from one image and supplied audio, with optional text guidance for the performance.Nemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional dense vectors for retrieval…
DateOct 16, 2026DiscoveredOct 15, 2026ListedJul 15, 2026Listed
Listed rate$0.02 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.105/ secondfal · all routes ↗See provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1aNot reportedNot reported0.4173 ↗Revision f8801746; test/defaultContributor reported
Context window8.2K—32.8K
Max output———
Parameters——1B

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