llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 2, 2026 · Apple M4
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
Global Score
75 vs 60
Hardware Fit
93 vs 96
Quality Score
67 vs 44
Hardware
llama3.1:8b qwen3.5-0.8b-mlx
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 qwen3.5-0.8b-mlx
Tokens/sec20.3108.0
First chunkN/A2568 ms
TTFT315 ms2.6 s
Load time1.1 sN/A
Memory usage10.4 GB1.0 GB
Memory %33%3%
HW Fit Score Breakdown
llama3.1:8b
Speed
33/50
TTFT
30/20
Memory
30/30
qwen3.5-0.8b-mlx
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
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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