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Comparison of seed-2.0-code, embeddinggemma-2, Krea: K3 Edit
3 modelsUnknownseed-2.0-codeRemove ×googleembeddinggemma-2Remove ×kreaKrea: K3 EditRemove ×
What’s different262.1K context · 131.1K max output · Tool calling · Structured outputEmbeddingGemma 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 16, 2026DiscoveredOct 8, 2026ListedOct 15, 2026Listed
Listed rate$0.50 in / $3.00 out/ 1M tokensExperiential · all routes ↗Standard · fewer than 128,001 input tokensSee provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
Context window262.1K8.2K65.5K
Max output131.1K—59K
Parameters———
Tool callingSupportedNot reportedNot reported
Structured outputSupportedNot reportedNot reported
Image inputNot reportedNot reportedSupported
ReasoningSupportedNot reportedNot reported

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