Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | intfloatmultilingual-e5-large-instructRemove × | googleembeddinggemma-2Remove × | cloudflareCloudflare: Clef FlashRemove × |
|---|---|---|---|
| What’s different | The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”… | 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,… | Small decision model for routing and scoring; the Workers AI route currently reads only roughly the first 2K text-state tokens. |
| Date | Apr 17, 2025Listed | Oct 8, 2026Listed | Oct 1, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | $0.038 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗ |
| Provider endpoints | 0 endpoints → | 0 endpoints → | 2 endpoints → |
Specifications | |||
| Context window | 512 | 8.2K | 24.6K |
| Max output | — | — | 22.1K |
| Parameters | — | — | — |
| Image input | Not reported | Not reported | Supported |
| Open weights | Not reported | Not reported | Supported |