mistral-small:24b
OLLAMA GGUFllama · 23.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
75 vs 88
Hardware Fit
64 vs 70
Quality Score
80 vs 96
Hardware
mistral-small:24b qwen3.8-27b-fable-…
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M4 Max
Cores2016
RAM122 GB128 GB
GPUDevice 2e12Apple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archarm64arm64
Power Modeperformancebalanced
Performance
mistral-small:24b qwen3.8-27b-fable-…
Tokens/sec14.330.4
First chunk327 ms27 ms
TTFT327 ms4.4 s
Load time12.0 sN/A
Memory usage18.5 GB19.9 GB
Memory %15%16%
HW Fit Score Breakdown
mistral-small:24b
Speed
14/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
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
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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