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Comparison of bge-m3, Ideogram V4.5 Edit, embeddinggemma-2
3 modelsBAAIbge-m3Remove ×ideogramIdeogram V4.5 EditRemove ×googleembeddinggemma-2Remove ×
What’s differentBGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in…Mask-guided edits with a high-precision mode that restores unchanged pixels; combines a source image with extra references.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,…
DateMay 27, 2024ListedSep 30, 2026ListedOct 8, 2026Listed
Listed rate$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
Context window8.2K—8.2K
Max output7.4K——
Parameters———
Open weightsSupportedNot reportedNot reported

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