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Comparison of multilingual-e5-large-instruct, Google: Gemini Embedding 001
2 modelsintfloatmultilingual-e5-large-instructRemove ×googleGoogle: Gemini Embedding 001Remove ×
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:”…gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text…
DateApr 17, 2025ListedOct 31, 2025Listed
Listed rateSee provider quotes$0.15 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →1 endpoint →
Context window51220K
Max output—18K
Parameters——

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