llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen2.5-1.5b-instruct
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
Global Score
75 vs 69
Hardware Fit
93 vs 100
Quality Score
67 vs 56
Hardware
llama3.1:8b qwen2.5-1.5b-instr…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen2.5-1.5b-instr…
Tokens/sec20.358.1
First chunkN/A211 ms
TTFT315 ms211 ms
Load time1.1 sN/A
Memory usage10.4 GB1.5 GB
Memory %33%5%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen2.5-1.5b-instruct
Speed
50/50
TTFT
20/20
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
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate 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