Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of embeddinggemma-2, Krea: K3 Edit
2 modelsgoogleembeddinggemma-2Remove ×kreaKrea: K3 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 one to eight reference images from a text prompt, returning one image.
DateOct 8, 2026ListedOct 15, 2026Listed
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
Context window8.2K65.5K
Max output—59K
Parameters——
Image inputNot reportedSupported

Add another model

Search all models →