llama4:scout
OLLAMA GGUFllama4 · 108.6B · Q4_K_M
Oct 3, 2026 · Cortex-X925
granite4.2:3b
OLLAMA GGUFgranite · 3.7B · Q4_K_M
Aug 29, 2026 · Apple M1 Pro
Global Score
81 vs 80
Hardware Fit
64 vs 80
Quality Score
88 vs 80
Hardware
llama4:scout granite4.2:3b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M1 Pro
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M1 Pro
OSUbuntu 24.04.5 LTSmacOS 26.6.2
Archarm64arm64
Power Modeperformancebalanced
Performance
llama4:scout granite4.2:3b
Tokens/sec19.646.8
First chunk677 ms135 ms
TTFT677 ms135 ms
Load time13.1 s0.0 s
Memory usage63.4 GB12.7 GB
Memory %52%79%
HW Fit Score Breakdown
llama4:scout
Speed
20/50
TTFT
20/20
Memory
24/30
granite4.2:3b
Speed
50/50
TTFT
20/20
Memory
10/30
Quality
llama4:scout
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
granite4.2:3b
Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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