Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | intfloatIntfloat: E5-Base-v2Remove × | intfloatIntfloat: Multilingual-E5-LargeRemove × | inclusionAIMing-Image-0.1-DesignRemove × |
|---|---|---|---|
| What’s different | The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as… | The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized… | Design-native, open-weight text-to-image (6B) — ranked #1 among open-weight models on Artificial Analysis's UI/UX Design leaderboard. Renders legible UI and poster text plus cohesive graphics, illustration… |
| Date | Nov 22, 2023Listed | Jun 4, 2024Listed | Sep 22, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 0 endpoints → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | Not reported | 998.76 ↗Text-to-image · all categoriesIndependent result95% CI 989.76–1,007.76 · n=20,016 |
Specifications | |||
| Context window | 512 | 512 | — |
| Max output | 460 | 460 | — |
| Parameters | — | — | — |
| Open weights | Supported | Supported | Supported |