llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
Global Score
75 vs 82
Hardware Fit
93 vs 80
Quality Score
67 vs 83
Hardware
llama3.1:8b qwen3.6-35b-a3b
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 qwen3.6-35b-a3b
Tokens/sec20.354.7
First chunkN/A32 ms
TTFT315 ms30.0 s
Load time1.1 sN/A
Memory usage10.4 GB30.3 GB
Memory %33%32%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
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
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong 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