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Comparison of Intfloat: Multilingual-E5-Large, Cloudflare: Clef, embeddinggemma-2
3 modelsintfloatIntfloat: Multilingual-E5-LargeRemove ×cloudflareCloudflare: ClefRemove ×googleembeddinggemma-2Remove ×
What’s differentThe multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…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...EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateJun 4, 2024ListedOct 1, 2026ListedOct 8, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes
Provider endpoints1 endpoint →2 endpoints →0 endpoints →
Context window51265.5K8.2K
Max output46014.7K—
Parameters———
Image inputNot reportedSupportedNot reported
Open weightsSupportedSupportedNot reported

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