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

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

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

Hardware

gemma-3-4b-it-q4-k-m qwen/qwen3-8b
MachineMac ProMac mini
CPUIntel Core™ i5-10400Apple M4 Pro
Cores1214
RAM32 GB64 GB
GPUAMD Radeon RX 6700 XTApple M4 Pro
OSmacOS 26.5.1macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m qwen/qwen3-8b
Tokens/sec75.033.4
First chunk136 ms257 ms
TTFT136 ms257 ms
Load time0.0 sN/A
Memory usage0.8 GB4.3 GB
Memory %3%7%

HW Fit Score Breakdown

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

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

qwen/qwen3-8b

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

Quality

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

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
View gemma-3-4b-it-q4-k-m details | View qwen/qwen3-8b 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