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Comparison of multilingual-e5-large-instruct, Intfloat: E5-Large-v2, Elorian: Glimpse
3 modelsintfloatmultilingual-e5-large-instructRemove ×intfloatIntfloat: E5-Large-v2Remove ×elorianElorian: GlimpseRemove ×
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:”…The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic…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...
DateApr 17, 2025ListedNov 22, 2023ListedOct 17, 2026Listed
Listed rateSee provider quotes$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.60 in / $3.00 out/ 1M tokensTogether · via OpenRouter · all routes ↗together
Provider endpoints0 endpoints →1 endpoint →2 endpoints →
Context window512512262.1K
Max output—460256K
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 weightsNot reportedSupportedNot reported

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