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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/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
80 vs 81
Hardware Fit
100 vs 68
Quality Score
71 vs 87

Hardware

gemma-3-4b-it-q4-k-m qwen/qwen3.8-27b
MachineMac ProMacBook Pro
CPUIntel Core™ i5-10400Apple M4 Max
Cores1216
RAM32 GB128 GB
GPUAMD Radeon RX 6700 XTApple M4 Max
OSmacOS 26.5.1macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m qwen/qwen3.8-27b
Tokens/sec75.016.4
First chunk136 ms5 ms
TTFT136 ms742 ms
Load time0.0 sN/A
Memory usage0.8 GB38.5 GB
Memory %3%30%

HW Fit Score Breakdown

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

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

qwen/qwen3.8-27b

Speed
18/50
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/qwen3.8-27b

Reasoning
17/20
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