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Text Generation on Text model inference M4 Max

525.5Throughput (tok/s)vllm-mlx
58.956180.078301.2422.322Jan 27, 2026

Evaluation results

MethodLinks
vllm-mlxModel=Qwen3-0.6B, Quantization=4-bit2026.01525.51.87
vllm-mlxModel=Llama-3.2-1B, Quantization=4-bit2026.01461.91.39
vllm-metalModel=Qwen3-0.6B, Quantization=4-bit2026.01365.8—
mlx-lmModel=Qwen3-0.6B, Quantization=4-bit2026.01356.2—
vllm-metalModel=Llama-3.2-1B, Quantization=4-bit2026.01350.9—
mlx-lmModel=Llama-3.2-1B, Quantization=4-bit2026.01347.1—
llama.cppModel=Llama-3.2-1B, Quantization=4-bit2026.01331.3—
llama.cppModel=Qwen3-0.6B, Quantization=4-bit2026.01281.5—
vllm-mlxModel=Llama-3.2-3B, Quantization=4-bit2026.01203.61.31
vllm-metalModel=Llama-3.2-3B, Quantization=4-bit2026.01174.3—
mlx-lmModel=Llama-3.2-3B, Quantization=4-bit2026.01167.5—
vllm-mlxModel=Qwen3-4B, Quantization=4-bit2026.011591.35
llama.cppModel=Llama-3.2-3B, Quantization=4-bit2026.01155.8—
vllm-mlxModel=Gemma 3-4B, Quantization=4-bit2026.01152.51.24
vllm-metalModel=Qwen3-4B, Quantization=4-bit2026.01137.3—
mlx-lmModel=Qwen3-4B, Quantization=4-bit2026.01128.9—
llama.cppModel=Gemma 3-4B, Quantization=4-bit2026.01123.2—
vllm-mlxModel=Nemotron-30B-A3B, Quantization=4-bit2026.01121.81.43
llama.cppModel=Qwen3-4B, Quantization=4-bit2026.01118.2—
vllm-metalModel=Gemma 3-4B, Quantization=4-bit2026.01117—
vllm-metalModel=Qwen3-30B-A3B, Quantization=4-bit2026.01110.3—
vllm-mlxModel=Qwen3-30B-A3B, Quantization=4-bit2026.01109.71.17
mlx-lmModel=Qwen3-30B-A3B, Quantization=4-bit2026.01107.4—
mlx-lmModel=Gemma 3-4B, Quantization=4-bit2026.01105.4—
mlx-lmModel=Nemotron-30B-A3B, Quantization=4-bit2026.01101.6—
vllm-mlxModel=Qwen3-8B, Quantization=4-bit2026.0193.31.21
llama.cppModel=Qwen3-30B-A3B, Quantization=4-bit2026.0189.9—
vllm-metalModel=Qwen3-8B, Quantization=4-bit2026.0187.1—
llama.cppModel=Nemotron-30B-A3B, Quantization=4-bit2026.0185.1—
mlx-lmModel=Qwen3-8B, Quantization=4-bit2026.0179.9—
llama.cppModel=Qwen3-8B, Quantization=4-bit2026.0176.9—