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Comparison of Intfloat: Multilingual-E5-Large, Moondream: Moondream 3 Preview, embeddinggemma-2
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×moondreamMoondream: Moondream 3 PreviewRemove ×googleembeddinggemma-2Remove ×
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…Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and visual reasoning over…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,…
DateJun 4, 2024ListedOct 15, 2026ListedOct 8, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.30 in / $2.50 out/ 1M tokensPrimeIntellect · via OpenRouter · all routes ↗primeintellect/fp8 · quantization=fp8See provider quotes
Provider endpoints1 endpoint →2 endpoints →0 endpoints →
Context window51232K8.2K
Max output4604.1K—
Parameters———
Image inputNot reportedSupportedNot reported
ReasoningNot reportedSupportedNot reported
Open weightsSupportedSupportedNot reported

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