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Comparison of MiniMax: MiniMax M2.7, embeddinggemma-2
2 modelsminimaxMiniMax: MiniMax M2.7Remove ×googleembeddinggemma-2Remove ×
What’s differentMiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates…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,…
DateMar 18, 2026ListedOct 8, 2026Listed
Listed rate$0.21 in / $0.84 out/ 1M tokensGMICloud · via OpenRouter · all routes ↗gmicloud/fp8 · quantization=fp8See provider quotes
Provider endpoints10 endpoints →0 endpoints →
Context window204.8K8.2K
Max output131.1K—
Parameters——
Tool callingSupportedNot reported
Structured outputSupportedNot reported
ReasoningSupportedNot reported
Prompt cachingSupportedNot reported
Open weightsSupportedNot reported

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