Run Mistral 7B on M4 Pro

Yes — Mistral 7B (7B) runs at 98 tok/s on M4 Pro with 24 GB RAM using Q4_K_M quantization via MLX. First token latency is 0.4s. Mistral AI's classic 7B model, one of the most widely-supported open models.

Speed

tok/s

First Token

0.4

seconds

RAM Needed

GB minimum

Engine

MLX

recommended

Benchmark Details

LLMCheck measured Mistral 7B on M4 Pro using the standard methodology: Q4_K_M quantization, 256-token input, 512-token output, 3 runs averaged on a freshly-booted system.

Metric	Value
Tokens per second	98 tok/s
Time to first token	0.4s
Quantization	Q4_K_M
Minimum RAM	24 GB
Recommended engine	MLX
Parameters	7B
Benchmark date	2026-02

Q4_K_M 7B MLX M4 Pro

Setup Guide: Run Mistral 7B on M4 Pro

The recommended engine for Mistral 7B on M4 Pro is MLX. Install with pip and pull the model:

pip install mlx-lm

mlx_lm.generate --model mlx-community/mistral-7b-q4_k_m --prompt "Hello!"

Alternatively, you can use Ollama for a simpler setup:

ollama run mistral:7b

Performance on Other Apple Silicon Chips

Chip	Speed	First Token	Min RAM	Engine
M5 Max	122 tok/s	0.3s	64 GB	Ollama
M3	62 tok/s	0.6s	16 GB	Ollama
M1	42 tok/s	1.2s	16 GB	Ollama

System Requirements

To run Mistral 7B on M4 Pro you need:

• Mac with M4 Pro chip (or newer)
• 24 GB unified memory minimum
• macOS 13 Ventura or later
• ~20-24 GB free disk space for the model file
• MLX installed (see our Ollama install guide)

Compare More Models

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