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Comparison of multilingual-e5-large-instruct, LiquidAI: d1, Krea 3 Edit
3 modelsintfloatmultilingual-e5-large-instructRemove ×liquidLiquidAI: d1Remove ×kreaKrea 3 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 and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateApr 17, 2025ListedOct 1, 2026ListedOct 14, 2026Listed
Listed rateSee provider quotes$0.02 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints0 endpoints →1 endpoint →1 endpoint →
Context window51265.5K—
Max output—59K—
Parameters———
Image inputNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported

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