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| 3 models | googleembeddinggemma-2Remove × | Briaremove_background_guidedRemove × | voyageaiVoyageAI by MongoDB: voyage-code-4Remove × |
|---|---|---|---|
| What’s different | EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,… | Prompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained… | 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 | Oct 8, 2026Listed | Oct 14, 2026Listed | Aug 13, 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 → | 0 endpoints → | 1 endpoint → |
Specifications | |||
| Context window | 8.2K | — | 32K |
| Max output | — | — | 28.8K |
| Parameters | — | — | — |