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Comparison of text-embedding-3-small, Bytedance Omnihuman V2, Qwen3-Embedding-8B
3 modelsUnknowntext-embedding-3-smallRemove ×bytedanceBytedance Omnihuman V2Remove ×QwenQwen3-Embedding-8BRemove ×
What’s different8.2K contextAnimates a person from one image and supplied audio, with optional text guidance for the performance.The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3…
DateOct 16, 2026DiscoveredOct 15, 2026ListedJun 10, 2025Listed
Listed rate$0.02 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.105/ secondfal · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
FreshStack · MTEB 1.38.43 ↗MTEB 1.38.43; test/default; dataset 7a20df1aNot reportedNot reported0.43017 ↗Revision 4e423935; test/defaultContributor reported
Context window8.2K—41K
Max output——32K
Parameters——8B
Open weightsNot reportedNot reportedSupported

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