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Comparison of text-embedding-3-large, Nemotron-3-Embed-1B-BF16
2 modelsUnknowntext-embedding-3-largeRemove ×nvidiaNemotron-3-Embed-1B-BF16Remove ×
What’s different8.2K contextNemotron-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, 2026DiscoveredJul 15, 2026Listed
Listed rate$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes
Provider endpoints1 endpoint →0 endpoints →
FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1aNot reported0.4173 ↗Revision f8801746; test/defaultContributor reported
Context window8.2K32.8K
Max output——
Parameters—1B

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