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Comparison of codestral-embed, aion-3.0-mini, VoyageAI by MongoDB: voyage-multimodal-3.5
3 modelsUnknowncodestral-embedRemove ×Unknownaion-3.0-miniRemove ×voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove ×
What’s different8.2K context131.1K context · 32.8K max output · Tool calling · Structured outputvoyage-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 16, 2026DiscoveredJul 27, 2026Listed
Listed rate$0.15 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.70 in / $1.40 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →1 endpoint →
Context window8.2K131.1K32K
Max output—32.8K28.8K
Parameters———
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedNot reportedSupported
ReasoningNot reportedSupportedNot reported

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