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Comparison of Intfloat: Multilingual-E5-Large, Intfloat: E5-Base-v2, Elorian: Glimpse
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×intfloatIntfloat: E5-Base-v2Remove ×elorianElorian: GlimpseRemove ×
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…The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as…Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
DateJun 4, 2024ListedNov 22, 2023ListedOct 17, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.60 in / $3.00 out/ 1M tokensTogether · via OpenRouter · all routes ↗together
Provider endpoints1 endpoint →1 endpoint →2 endpoints →
Context window512512262.1K
Max output460460256K
Parameters———
Tool callingNot reportedNot reportedSupported
Structured outputNot reportedNot reportedSupported
Image inputNot reportedNot reportedSupported
Video inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported
Open weightsSupportedSupportedNot reported

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