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| 3 models | intfloatIntfloat: E5-Base-v2Remove × | bytedance-seedByteDance Seed: Seedream 5.0 ProRemove × | liquidLiquidAI: LFM2.5-Embedding-350M (free)Remove × |
|---|---|---|---|
| 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… | Choose standard or fast prompt enhancement; accepts extreme aspect ratios up to 16:1 within a 2K-square pixel budget. | LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and… |
| Date | Nov 22, 2023Listed | Jul 8, 2026Released | Aug 18, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.0675/ imagefal · all routes ↗Area ≤ 1536x1536 pixels | $0.00 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 2 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | 1,100.17 ↗Text-to-image · all categoriesIndependent result95% CI 1,089.17–1,111.17 · n=11,633 | Not reported |
Specifications | |||
| Context window | 512 | — | 512 |
| Max output | 460 | — | 460 |
| Parameters | — | — | — |
| Image input | Not reported | Supported | Not reported |
| Open weights | Supported | Not reported | Supported |