qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
Global Score
80 vs 82
Hardware Fit
85 vs 80
Quality Score
78 vs 83
Hardware
qwen3:8b qwen3.6-35b-a3b
MachineHP HP Z8 G4 WorkstationMac Studio
CPUIntel Xeon® Gold 6230Apple M2 Max
Cores8012
RAM252 GB96 GB
GPUTU104GL [Quadro RTX 5000]Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b qwen3.6-35b-a3b
Tokens/sec65.155.2
First chunk289 ms4 ms
TTFT4.2 s30.0 s
Load time4.6 sN/A
Memory usage5.6 GB30.3 GB
Memory %2%32%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
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
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong 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