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Comparison of MiniMax-M3, embeddinggemma-2
2 modelsMiniMaxAIMiniMax-M3Remove ×googleembeddinggemma-2Remove ×
What’s differentMiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters.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 2, 2026ListedOct 8, 2026Listed
Listed rate$0.28 in / $1.10 out/ 1M tokensdeepinfra · via Hugging Face · all routes ↗See provider quotes
Provider endpoints7 endpoints →0 endpoints →
Context window1M8.2K
Max output——
Parameters——
Tool callingSupportedNot reported
Structured outputSupportedNot reported
Image inputSupportedNot reported
Open weightsSupportedNot reported

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