qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
89 vs 36
Hardware Fit
95 vs 100
Quality Score
87 vs 8
Hardware
qwen/qwen3-8b qwen36-distill-apex
MachineMac miniMacBook Pro
CPUApple M4 ProApple M5 Max
Cores1418
RAM64 GB64 GB
GPUApple M4 ProApple M5 Max
OSmacOS 15.7.4macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3-8b qwen36-distill-apex
Tokens/sec33.455.2
First chunk257 ms210 ms
TTFT257 ms210 ms
Load timeN/A4.8 s
Memory usage4.3 GB0.9 GB
Memory %7%2%
HW Fit Score Breakdown
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
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
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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