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Comparison of embeddinggemma-2, multilingual-e5-large-instruct, Elorian: Glimpse
3 modelsgoogleembeddinggemma-2Remove ×intfloatmultilingual-e5-large-instructRemove ×elorianElorian: GlimpseRemove ×
What’s differentEmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…The 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:”…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...
DateOct 8, 2026ListedApr 17, 2025ListedOct 17, 2026Listed
Listed rateSee provider quotesSee provider quotes$0.60 in / $3.00 out/ 1M tokensTogether · via OpenRouter · all routes ↗together
Provider endpoints0 endpoints →0 endpoints →2 endpoints →
Context window8.2K512262.1K
Max output——256K
Parameters———
Tool callingNot reportedNot reportedSupported
Structured outputNot reportedNot reportedSupported
Image inputNot reportedNot reportedSupported
Video inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Prompt cachingNot reportedNot reportedSupported

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