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Comparison of embeddinggemma-2, Cloudflare: Clef, Qwen3-Embedding-8B
3 modelsgoogleembeddinggemma-2Remove ×cloudflareCloudflare: ClefRemove ×QwenQwen3-Embedding-8BRemove ×
What’s differentEmbeddingGemma 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,…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...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…
DateOct 8, 2026ListedOct 1, 2026ListedJun 10, 2025Listed
API prices USD · provider configuration shown below
Listed rateSee provider quotes$0.042 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →2 endpoints →1 endpoint →
Benchmarks Each result retains its evaluation configuration
FreshStack · MTEB 1.38.43 ↗MTEB 1.38.43; test/default; dataset 7a20df1aNot reportedNot reported0.43017 ↗Revision 4e423935; test/defaultContributor reported
Specifications
Context window8.2K65.5K41K
Max output—14.7K32K
Parameters——8B
Image inputNot reportedSupportedNot reported
Open weightsNot reportedSupportedSupported

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