llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
Global Score
75 vs 65
Hardware Fit
93 vs 96
Quality Score
67 vs 51
Hardware
llama3.1:8b qwen3-4b-qwen3.6-p…
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen3-4b-qwen3.6-p…
Tokens/sec20.399.6
First chunkN/A18 ms
TTFT315 ms1.6 s
Load time1.1 s4.8 s
Memory usage10.4 GB0.3 GB
Memory %33%0%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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