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| 3 models | nvidiaNemotron-3-Embed-1B-NVFP4Remove × | kreaKrea 3 EditRemove × | voyageaiVoyageAI by MongoDB: voyage-code-4Remove × |
|---|---|---|---|
| What’s different | Nemotron-3-Embed-1B-NVFP4 is the NVFP4-quantized version of Nemotron-3-Embed-1B-BF16 — a multilingual text embedding model from NVIDIA that maps text into 2048-dimensional dense vectors for retrieval and… | Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed. | voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256... |
| Date | Jul 16, 2026Listed | Oct 14, 2026Listed | Aug 13, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.025/ megapixelfal · all routes ↗Output + reference images | $0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 1 endpoint → |
Specifications | |||
| Context window | 32.8K | — | 32K |
| Max output | — | — | 28.8K |
| Parameters | 1B | — | — |