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| 2 models | minimaxMiniMax: MiniMax-01Remove × | googleembeddinggemma-2Remove × |
|---|---|---|
| What’s different | MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a… | 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,… |
| Date | Jan 15, 2025Listed | Oct 8, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.20 in / $1.10 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax | See provider quotes |
| Provider endpoints | 2 endpoints → | 0 endpoints → |
Specifications | ||
| Context window | 1M | 8.2K |
| Max output | 900.2K | — |
| Parameters | — | — |
| Image input | Supported | Not reported |
| Open weights | Supported | Not reported |