qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
84 vs 53
Hardware Fit
97 vs 89
Quality Score
79 vs 38
Hardware
qwen3:8b qwen3.5-0.8b-mlx
MachineASUSMac mini
CPUIntel Core™ Ultra 9 285KApple M4 Pro
Cores2414
RAM47 GB64 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3:8b qwen3.5-0.8b-mlx
Tokens/sec208.052.9
First chunk82 ms4013 ms
TTFT1.3 s4.0 s
Load time1.5 sN/A
Memory usage9.6 GB0.6 GB
Memory %20%1%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5-0.8b-mlx
Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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