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Comparison of Intfloat: Multilingual-E5-Large, Ling-3.1-flash
2 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×inclusionAILing-3.1-flashRemove ×
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…Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.
DateJun 4, 2024ListedOct 13, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.30 in / $0.90 out/ 1M tokensDeepInfra · all routes ↗
Provider endpoints1 endpoint →2 endpoints →
Context window512262.1K
Max output460—
Parameters——
Tool callingNot reportedSupported
Open weightsSupportedSupported

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