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google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3.6:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
76 vs 70
Hardware Fit
100 vs 66
Quality Score
66 vs 71

Hardware

google/gemma-3-4b qwen3.6:35b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB48 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-4b qwen3.6:35b
Tokens/sec39.430.6
First chunk468 ms304 ms
TTFT468 ms30.0 s
Load timeN/A10.0 s
Memory usage2.8 GB28.1 GB
Memory %9%59%

HW Fit Score Breakdown

google/gemma-3-4b

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

qwen3.6:35b

Speed
45/50
TTFT
0/20
Memory
21/30

Quality

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.6:35b

Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong 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