Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | googleGoogle: Gemini Embedding 2Remove × | nvidiaNemotron-3-Embed-8BRemove × |
|---|---|---|
| What’s different | Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It… | 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… |
| Date | May 20, 2026Listed | Jul 16, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.20 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 0 endpoints → |
Specifications | ||
| Context window | 8.2K | 32.8K |
| Max output | 7.4K | — |
| Parameters | — | 8B |
| Image input | Supported | Not reported |
| Audio input | Supported | Not reported |
| Video input | Supported | Not reported |