qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
phi4-mini:latest
OLLAMA GGUFphi3 · 3.8B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
89 vs 71
Hardware Fit
95 vs 100
Quality Score
87 vs 58
Hardware
qwen/qwen3-8b phi4-mini:latest
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3-8b phi4-mini:latest
Tokens/sec33.436.2
First chunk257 msN/A
TTFT257 ms190 ms
Load timeN/A0.8 s
Memory usage4.3 GB8.3 GB
Memory %7%26%
HW Fit Score Breakdown
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
phi4-mini:latest
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
phi4-mini:latest
Reasoning
12/20
Coding
10/20
Instruction
10/20
Structured
11/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate 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