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Comparison of multilingual-e5-large-instruct, Intfloat: E5-Base-v2, Cloudflare: Clef
3 modelsintfloatmultilingual-e5-large-instructRemove ×intfloatIntfloat: E5-Base-v2Remove ×cloudflareCloudflare: ClefRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…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…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...
DateApr 17, 2025ListedNov 22, 2023ListedOct 1, 2026Listed
Listed rateSee provider quotes$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →1 endpoint →2 endpoints →
Context window51251265.5K
Max output—46014.7K
Parameters———
Image inputNot reportedNot reportedSupported
Open weightsNot reportedSupportedSupported

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