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Comparison of embeddinggemma-2, Krea 3 Edit
2 modelsgoogleembeddinggemma-2Remove ×kreaKrea 3 EditRemove ×
What’s differentEmbeddingGemma 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,…Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateOct 8, 2026ListedOct 14, 2026Listed
Listed rateSee provider quotes$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints0 endpoints →1 endpoint →
Context window8.2K—
Max output——
Parameters——

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