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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen3.6:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
80 vs 70
Hardware Fit
83 vs 66
Quality Score
79 vs 71

Hardware

google/gemma-4-e4b qwen3.6:35b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM120 GB48 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.6:35b
Tokens/sec46.530.6
First chunk14 ms304 ms
TTFT1.9 s30.0 s
Load time7.6 s10.0 s
Memory usage0.0 GB28.1 GB
Memory %0%59%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
43/50
TTFT
10/20
Memory
30/30

qwen3.6:35b

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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
View google/gemma-4-e4b details | View qwen3.6:35b 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