Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | BAAIbge-m3-multi-8kRemove × | voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove × |
|---|---|---|
| What’s different | BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),… | 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… |
| Date | Sep 3, 2026Listed | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 8.2K | 32K |
| Max output | — | 28.8K |
| Parameters | — | — |
| Image input | Not reported | Supported |