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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
89 vs 80
Hardware Fit
95 vs 85
Quality Score
87 vs 78

Hardware

qwen/qwen3-8b qwen3:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4 ProIntel Xeon® Gold 6230
Cores1480
RAM64 GB252 GB
GPUApple M4 ProTU104GL [Quadro RTX 5000]
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

qwen/qwen3-8b qwen3:8b
Tokens/sec33.465.1
First chunk257 ms289 ms
TTFT257 ms4.2 s
Load timeN/A4.6 s
Memory usage4.3 GB5.6 GB
Memory %7%2%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

Quality

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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
View qwen/qwen3-8b details | View qwen3:8b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest