qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
80 vs 74
Hardware Fit
85 vs 100
Quality Score
78 vs 63
Hardware
qwen3:8b llama3.2:3b
MachineHP HP Z8 G4 WorkstationMacBook Air
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB32 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b llama3.2:3b
Tokens/sec65.144.1
First chunk289 msN/A
TTFT4.2 s178 ms
Load time4.6 s0.8 s
Memory usage5.6 GB7.0 GB
Memory %2%22%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
llama3.2:3b
Speed
40/50
TTFT
30/20
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
llama3.2:3b
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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