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Comparison of multilingual-e5-large-instruct, Elorian: Glimpse, embeddinggemma-2
3 modelsintfloatmultilingual-e5-large-instructRemove ×elorianElorian: GlimpseRemove ×googleembeddinggemma-2Remove ×
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:”…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...EmbeddingGemma 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,…
DateApr 17, 2025ListedOct 17, 2026ListedOct 8, 2026Listed
Listed rateSee provider quotes$0.60 in / $3.00 out/ 1M tokensTogether · via OpenRouter · all routes ↗togetherSee provider quotes
Provider endpoints0 endpoints →2 endpoints →0 endpoints →
Context window512262.1K8.2K
Max output—256K—
Parameters———
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedSupportedNot reported
Video inputNot reportedSupportedNot reported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported

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