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| 3 models | intfloatIntfloat: E5-Base-v2Remove × | bytedance-seedByteDance Seed: Seedream 5.0 ProRemove × | voyageaiVoyageAI by MongoDB: voyage-code-4Remove × |
|---|---|---|---|
| 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. | voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256... |
| Date | Nov 22, 2023Listed | Jul 8, 2026Released | Aug 13, 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 | $0.12 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 | 1,100.12 ↗Text-to-image · all categoriesIndependent result95% CI 1,089.12–1,111.12 · n=11,438 | Not reported |
Specifications | |||
| Context window | 512 | — | 32K |
| Max output | 460 | — | 28.8K |
| Parameters | — | — | — |
| Image input | Not reported | Supported | Not reported |
| Open weights | Supported | Not reported | Not reported |