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Comparison of deepseek-r1, embeddinggemma-2
2 modelsdeepseekdeepseek-r1Remove ×googleembeddinggemma-2Remove ×
What’s different163.8K context · 32.8K max output · Open weights · Tool callingEmbeddingGemma 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,…
DateJan 20, 2025ListedOct 8, 2026Listed
Listed rate$0.70 in / $2.50 out/ 1M tokensnovita · via Hugging Face · all routes ↗See provider quotes
Provider endpoints2 endpoints →0 endpoints →
Context window163.8K8.2K
Max output32.8K—
Parameters——
Tool callingSupportedNot reported
Structured outputSupportedNot reported
Open weightsSupportedNot reported

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