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qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
83 vs 71
Hardware Fit
100 vs 35
Quality Score
76 vs 86

Hardware

qwen3-5-4b-q4-k-m google/gemma-3-27b
MachineMac ProMac mini
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM32 GB24 GB
GPUAMD Radeon RX 6700 XTApple M4
OSmacOS 26.5.1macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m google/gemma-3-27b
Tokens/sec62.75.9
First chunk278 ms19 ms
TTFT278 ms1.8 s
Load time0.0 sN/A
Memory usage0.0 GB22.0 GB
Memory %0%92%

HW Fit Score Breakdown

qwen3-5-4b-q4-k-m

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

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

Quality

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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