qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
qwen3.8-27b-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 20, 2026 · Apple M1 Pro
Global Score
80 vs 78
Hardware Fit
85 vs 56
Quality Score
78 vs 87
Hardware
qwen3:8b qwen3.8-27b-mlx
MachineHP HP Z8 G4 WorkstationMacBook Pro
CPUIntel Xeon® Gold 6230Apple M1 Pro
Cores8010
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b qwen3.8-27b-mlx
Tokens/sec65.110.8
First chunk289 ms8 ms
TTFT4.2 s2.6 s
Load time4.6 sN/A
Memory usage5.6 GB21.0 GB
Memory %2%66%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
qwen3.8-27b-mlx
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
18/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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