The most-used open-weight model on OpenRouter. 256K native context with interleaved thinking. Runs at 60+ tokens/sec on Apple M5 Max 128GB unified memory — the top Mac inference pick.
This model requires a specialized High-VRAM environment. Ensure you have the latest CUDA Drivers or Metal Framework installed.
Minimum VRAM: 130GB VRAM Recommended
The MiniMax M2.5 model by MiniMax is a 230B (MoE) parameter architecture optimized for chat tasks. It requires approximately 128GB of VRAM to comfortably run locally using a Q4_K_M quantization. Extending the context window up to 262,144 tokens will dynamically allocate further VRAM, meaning high-bandwidth memory hardware is strictly advised.
For running MiniMax M2.5 at maximum tokens-per-second, we recommend using LM Studio or Ollama with a GGUF quantization (Q4_K_M or Q6_K). If you are multi-GPU, use vLLM to distribute the layers across your VRAM pool for optimal throughput.
You will need a GPU with at least 130GB of VRAM to run the Q4_K_M quantized version smoothly with a moderate context window.
The simplest method is utilizing Ollama by executing 'ollama run minimax-m2.5' directly in your command line. Alternatively, you can search for the model via LM Studio's interface.