llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.7B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
81 vs 80
Hardware Fit
100 vs 88
Quality Score
73 vs 76
Hardware
llama-3.1-8b-instr… qwen3.5:4b
MachineASUSMacBook Air
CPUAMD Ryzen 5 5500Apple M4
Cores1210
RAM31 GB32 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4
OSNobara Linux 43macOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
llama-3.1-8b-instr… qwen3.5:4b
Tokens/sec35.616.6
First chunk52 msN/A
TTFT256 ms369 ms
Load timeN/A1.5 s
Memory usage8.6 GB6.5 GB
Memory %28%20%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:4b
Speed
28/50
TTFT
30/20
Memory
30/30
Quality
llama-3.1-8b-instruct
Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3.5:4b
Reasoning
16/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate 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