llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 12, 2026 · Apple M4 Pro
Global Score
81 vs 84
Hardware Fit
100 vs 91
Quality Score
73 vs 81
Hardware
llama3.1:8b qwen3.5-9b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini
CPUIntel Core™ i5-14400FApple M4 Pro
Cores1614
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen3.5-9b
Tokens/sec70.230.2
First chunk58 ms499 ms
TTFT58 ms499 ms
Load time4.1 sN/A
Memory usage4.9 GB6.7 GB
Memory %15%11%
HW Fit Score Breakdown
llama3.1:8b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5-9b
Speed
41/50
TTFT
20/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5-9b
Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong 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