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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
89 vs 80
Hardware Fit
95 vs 100
Quality Score
87 vs 71

Hardware

qwen/qwen3-8b gemma-3-4b-it-q4-k-m
MachineMac miniMac Pro
CPUApple M4 ProIntel Core™ i5-10400
Cores1412
RAM64 GB32 GB
GPUApple M4 ProAMD Radeon RX 6700 XT
OSmacOS 15.7.4macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b gemma-3-4b-it-q4-k-m
Tokens/sec33.475.0
First chunk257 ms136 ms
TTFT257 ms136 ms
Load timeN/A0.0 s
Memory usage4.3 GB0.8 GB
Memory %7%3%

HW Fit Score Breakdown

qwen/qwen3-8b

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

gemma-3-4b-it-q4-k-m

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

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen/qwen3-8b details | View gemma-3-4b-it-q4-k-m 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