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Comparison of text-embedding-3-large, Tripo3D Segment, embeddinggemma-2
3 modelsUnknowntext-embedding-3-largeRemove ×tripo3dTripo3D SegmentRemove ×googleembeddinggemma-2Remove ×
What’s different8.2K contextAutomatically splits a 3D model into semantic parts for editing, texturing, and rigging.EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateOct 16, 2026DiscoveredAug 6, 2026ListedOct 8, 2026Listed
Listed rate$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
Context window8.2K—8.2K
Max output———
Parameters———

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