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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma4:latest

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Jun 5, 2026 · AMD Ryzen 7 5800H

Global Score
89 vs 89
Hardware Fit
95 vs 83
Quality Score
87 vs 92

Hardware

qwen/qwen3-8b gemma4:latest
MachineMac miniLENOVO 82JQ
CPUApple M4 ProAMD Ryzen 7 5800H
Cores1416
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 15.7.4Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b gemma4:latest
Tokens/sec33.446.3
First chunk257 ms824 ms
TTFT257 ms3.8 s
Load timeN/A21.0 s
Memory usage4.3 GB8.9 GB
Memory %7%56%

HW Fit Score Breakdown

qwen/qwen3-8b

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

gemma4:latest

Speed
50/50
TTFT
11/20
Memory
22/30

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

gemma4:latest

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3-8b details | View gemma4:latest details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest