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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 · Q3_K_S

Excellent

Oct 20, 2026 · Apple M1 Pro

Global Score
83 vs 89
Hardware Fit
96 vs 90
Quality Score
78 vs 88

Hardware

google/gemma-4-e4b qwen3.6-35b-a3b
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M1 Pro
Cores3210
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M1 Pro
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.6-35b-a3b
Tokens/sec35.939.1
First chunk9 ms33 ms
TTFT182 ms319 ms
Load timeN/AN/A
Memory usage6.5 GB19.0 GB
Memory %43%60%

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
20/20
Memory
20/30

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
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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