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Comparison of mistral-embed, embeddinggemma-2, VoyageAI by MongoDB: voyage-multimodal-3.5
3 modelsUnknownmistral-embedRemove ×googleembeddinggemma-2Remove ×voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove ×
What’s different8.2K contextEmbeddingGemma 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,…voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It…
DateOct 16, 2026DiscoveredOct 8, 2026ListedJul 27, 2026Listed
Listed rate$0.10 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rateSee provider quotes$0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
Context window8.2K8.2K32K
Max output——28.8K
Parameters———
Image inputNot reportedNot reportedSupported

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