Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | nvidiaNemotron-3-Embed-8BRemove × | ideogramIdeogram V4.5 Text to ImageRemove × | voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove × |
|---|---|---|---|
| What’s different | Nemotron-3-Embed-8B is a multilingual text embedding model from NVIDIA, based on Ministral-3-8B, that maps text into 4096-dimensional dense vectors for retrieval and semantic similarity. Spanning 34… | Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers. | 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 | Jul 16, 2026Listed | Sep 30, 2026Released | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | $0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | 1,015.07 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.07–1,030.07 · n=2,888 | Not reported |
Specifications | |||
| Context window | 32.8K | — | 32K |
| Max output | — | — | 28.8K |
| Parameters | 8B | — | — |
| Image input | Not reported | Not reported | Supported |