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Comparison of Intfloat: Multilingual-E5-Large, Together: Tev1 4B Experimental, Krea: K3 Edit
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×togethercomputerTogether: Tev1 4B ExperimentalRemove ×kreaKrea: K3 EditRemove ×
What’s differentThe multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24...Edits one to eight reference images from a text prompt, returning one image.
DateJun 4, 2024ListedSep 30, 2026ListedOct 15, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window51232.8K65.5K
Max output460859K
Parameters—4B—
Image inputNot reportedNot reportedSupported
Open weightsSupportedSupportedNot reported

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