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| 3 models | intfloatIntfloat: E5-Base-v2Remove × | bytedance-seedByteDance Seed: Seedream 5.0 ProRemove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|---|
| 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. | The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3… |
| Date | Nov 22, 2023Listed | Jul 8, 2026Released | Jun 10, 2025Listed |
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 | $0.01 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 |
| FreshStack · MTEB 1.38.43 ↗MTEB 1.38.43; test/default; dataset 7a20df1a | Not reported | Not reported | 0.43017 ↗Revision 4e423935; test/defaultContributor reported |
Specifications | |||
| Context window | 512 | — | 41K |
| Max output | 460 | — | 32K |
| Parameters | — | — | 8B |
| Image input | Not reported | Supported | Not reported |
| Open weights | Supported | Not reported | Supported |