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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

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score
80 vs 55
Hardware Fit
100 vs 87
Quality Score
71 vs 41

Hardware

gemma-3-4b-it-q4-k-m qwen3.5-0.8b-mlx
MachineMac ProMacBook Air
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM32 GB32 GB
GPUAMD Radeon RX 6700 XTApple M4
OSmacOS 26.5.1macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m qwen3.5-0.8b-mlx
Tokens/sec75.068.2
First chunk136 ms3268 ms
TTFT136 ms3.3 s
Load time0.0 sN/A
Memory usage0.8 GB0.6 GB
Memory %3%2%

HW Fit Score Breakdown

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

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

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

qwen3.5-0.8b-mlx

Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View gemma-3-4b-it-q4-k-m details | View qwen3.5-0.8b-mlx 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