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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
89 vs 81
Hardware Fit
95 vs 100
Quality Score
87 vs 73

Hardware

qwen/qwen3-8b gemma3n:latest
MachineMac miniSupermicro AS -2015HS-TNR
CPUApple M4 ProAMD EPYC 9654P 96-Core Processor
Cores1464
RAM64 GB128 GB
GPUApple M4 ProGH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSmacOS 15.7.4Ubuntu 24.04.3 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen/qwen3-8b gemma3n:latest
Tokens/sec33.4108.7
First chunk257 ms333 ms
TTFT257 ms333 ms
Load timeN/A4.5 s
Memory usage4.3 GB8.6 GB
Memory %7%7%

HW Fit Score Breakdown

qwen/qwen3-8b

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

gemma3n:latest

Speed
50/50
TTFT
20/20
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

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen/qwen3-8b details | View gemma3n: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