qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
80 vs 66
Hardware Fit
85 vs 91
Quality Score
78 vs 55
Hardware
qwen3:8b qwen3.8-27b-mlx
MachineHP HP Z8 G4 WorkstationMacBook Pro
CPUIntel Xeon® Gold 6230Apple M5 Max
Cores8018
RAM252 GB64 GB
GPUTU104GL [Quadro RTX 5000]Apple M5 Max
OSUbuntu 24.04.4 LTSmacOS 27.0
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b qwen3.8-27b-mlx
Tokens/sec65.133.2
First chunk289 ms7 ms
TTFT4.2 s311 ms
Load time4.6 sN/A
Memory usage5.6 GB0.5 GB
Memory %2%1%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
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
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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