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Comparison of embeddinggemma-300m, Intfloat: Multilingual-E5-Large, Moondream: Moondream 3 Preview
3 modelsgoogleembeddinggemma-300mRemove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×moondreamMoondream: Moondream 3 PreviewRemove ×
What’s differentEmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations…The 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…
DateSep 16, 2025ListedJun 4, 2024ListedOct 15, 2026Listed
Listed rateSee provider quotes$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=fp8
Provider endpoints0 endpoints →1 endpoint →2 endpoints →
Context window2K51232K
Max output—4604.1K
Parameters300M——
Image inputNot reportedNot reportedSupported
ReasoningNot reportedNot reportedSupported
Open weightsNot reportedSupportedSupported

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