llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jun 19, 2026 · Apple M4 Max
Global Score
75 vs 89
Hardware Fit
93 vs 96
Quality Score
67 vs 86
Hardware
llama3.1:8b qwen3-coder:30b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB64 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.1
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen3-coder:30b
Tokens/sec20.389.9
First chunkN/A188 ms
TTFT315 ms188 ms
Load time1.1 s4.0 s
Memory usage10.4 GB30.2 GB
Memory %33%47%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen3-coder:30b
Speed
50/50
TTFT
20/20
Memory
26/30
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-coder:30b
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate 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