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Comparison of multilingual-e5-large-instruct, LiquidAI: d1, Krea: K3 Edit
3 modelsintfloatmultilingual-e5-large-instructRemove ×liquidLiquidAI: d1Remove ×kreaKrea: K3 EditRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…d1 is Liquid AI's structured decision model, served as a System One endpoint. Send a state along with typed questions, and it returns a choice, a score, or a yes/no...Edits one to eight reference images from a text prompt, returning one image.
DateApr 17, 2025ListedOct 1, 2026ListedOct 15, 2026Listed
Listed rateSee provider quotes$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints0 endpoints →1 endpoint →0 endpoints →
Context window51265.5K65.5K
Max output—59K59K
Parameters———
Image inputNot reportedSupportedSupported
Prompt cachingNot reportedSupportedNot reported

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