Unverified50% confidenceReleaseExact time
After adding speculative decoding to the MLX inference backend, reply speed on Mac is up to 2.8x faster with identical output, and draft depth is set automatically, supporting multiple draft models such as MTP, DFlash, DSpark and EAGLE-3.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedModel versions with the MLX suffix typically achieve inference speeds 2–3 times faster than the generic GGUF versions on Apple Silicon.71% similarUnverifiedAfter MLX is enabled by default, supported models may have advantages in inference speed and memory utilization, but the official team has not released unified performance data.70% similarUnverifiedOn Macs with Apple Silicon chips, LM Studio's support for MLX makes its performance highly competitive, and in some scenarios it can even surpass Ollama.68% similarUnverifiedOllama has native support for MLX with deep optimization, making it the optimal inference framework choice for M-series chip Macs.65% similarUnverifiedMLX's design draws on the interface styles of NumPy, PyTorch, and JAX, is optimized for unified memory architecture, and its computation graph can execute seamlessly across both CPU and GPU.64% similar
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