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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

Global Score
83 vs 82
Hardware Fit
96 vs 80
Quality Score
78 vs 83

Hardware

google/gemma-4-e4b qwen3.6-35b-a3b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMac Studio
CPUAMD Ryzen 9 8940HXApple M2 Max
Cores3212
RAM15 GB96 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M2 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.6-35b-a3b
Tokens/sec35.955.2
First chunk9 ms4 ms
TTFT182 ms30.0 s
Load timeN/AN/A
Memory usage6.5 GB30.3 GB
Memory %43%32%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

qwen3.6-35b-a3b

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

Quality

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.6-35b-a3b

Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-4-e4b details | View qwen3.6-35b-a3b 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