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Comparison of Intfloat: E5-Base-v2, Cloudflare: Clef, bge-m3-multi-8k
3 modelsintfloatIntfloat: E5-Base-v2Remove ×cloudflareCloudflare: ClefRemove ×BAAIbge-m3-multi-8kRemove ×
What’s differentThe 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…Clef is Cloudflare's open-source 27B multimodal decision model, a fine-tune of Qwen3.8-27B served on Workers AI. It turns a state (text or structured JSON) plus a schema of typed questions...BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),…
DateNov 22, 2023ListedOct 1, 2026ListedSep 3, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.24 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗See provider quotes
Provider endpoints1 endpoint →2 endpoints →0 endpoints →
Context window51265.5K8.2K
Max output46059K—
Parameters———
Image inputNot reportedSupportedNot reported
Open weightsSupportedSupportedNot reported

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