mistral-small:24b
OLLAMA GGUFllama · 23.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 12, 2026 · Apple M4 Pro
Global Score
75 vs 77
Hardware Fit
64 vs 67
Quality Score
80 vs 81
Hardware
mistral-small:24b qwen3.5-9b-mlx
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4 Pro
Cores2014
RAM122 GB64 GB
GPUDevice 2e12Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archarm64arm64
Power Modeperformancebalanced
Performance
mistral-small:24b qwen3.5-9b-mlx
Tokens/sec14.320.3
First chunk327 ms4216 ms
TTFT327 ms4.2 s
Load time12.0 sN/A
Memory usage18.5 GB5.6 GB
Memory %15%9%
HW Fit Score Breakdown
mistral-small:24b
Speed
14/50
TTFT
20/20
Memory
30/30
qwen3.5-9b-mlx
Speed
29/50
TTFT
8/20
Memory
30/30
Quality
mistral-small:24b
Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3.5-9b-mlx
Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest