MiniMax M3 MXFP4

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026context N/A

MiniMax M3 MXFP4 is a quantized multimodal model optimized for AMD hardware using MXFP4 (microscaling 4-bit) precision, which reduces memory footprint and can accelerate inference on compatible hardware. It accepts both text and image inputs and produces text outputs. The MXFP4 format reflects AMD's push for efficient quantization standards, though specific capability details beyond its multimodal nature and quantization scheme are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Strong

Factual Knowledge

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

MiniMax M3 MXFP4

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026context N/A

MiniMax M3 MXFP4 is a quantized multimodal model optimized for AMD hardware using MXFP4 (microscaling 4-bit) precision, which reduces memory footprint and can accelerate inference on compatible hardware. It accepts both text and image inputs and produces text outputs. The MXFP4 format reflects AMD's push for efficient quantization standards, though specific capability details beyond its multimodal nature and quantization scheme are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Strong

Factual Knowledge

Moderate

Creative Writing

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

InferenceThe process of running a trained model to generate predictions or outputs from new inputs.MXFP4A low-precision floating-point format (4-bit) designed for efficient neural network computation while maintaining reasonable accuracy.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.MultimodalA model that can process and understand multiple types of input, such as both text and images.Multimodal ModelAn AI model that can process and understand multiple types of input data, such as video, images, and text together.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.QuantizedA technique that reduces a model's size and memory usage by storing weights with lower precision (fewer bits), trading some accuracy for efficiency.