Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | googleembeddinggemma-2Remove × | cloudflareCloudflare: ClefRemove × | voyageaiVoyageAI by MongoDB: voyage-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,… | Clef is Cloudflare's open-source 27B multimodal decision model, a fine-tune of Qwen3.8-27B served on Workers AI. It turns a state (text or structured JSON) plus a schema of typed questions... | voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple… |
| Date | Oct 8, 2026Listed | Oct 1, 2026Listed | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.24 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗ | $0.06 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 2 endpoints → | 1 endpoint → |
Specifications | |||
| Context window | 8.2K | 65.5K | 32K |
| Max output | — | 59K | 28.8K |
| Parameters | — | — | — |
| Image input | Not reported | Supported | Not reported |
| Open weights | Not reported | Supported | Not reported |