qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_S
Mar 12, 2026 · Apple M4 Pro
llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
84 vs 81
Hardware Fit
91 vs 100
Quality Score
81 vs 73
Hardware
qwen3.5-9b llama3.1:8b
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4 ProIntel Core™ i5-14400F
Cores1416
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 15.7.4Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b llama3.1:8b
Tokens/sec30.270.2
First chunk499 ms58 ms
TTFT499 ms58 ms
Load timeN/A4.1 s
Memory usage6.7 GB4.9 GB
Memory %11%15%
HW Fit Score Breakdown
qwen3.5-9b
Speed
41/50
TTFT
20/20
Memory
30/30
llama3.1:8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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