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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-mlx

OLLAMA GGUF

nvfp4

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score
83 vs 89
Hardware Fit
96 vs 97
Quality Score
78 vs 86

Hardware

google/gemma-4-e4b qwen3.6:35b-mlx
MachineASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PHMacBook Pro
CPUAMD Ryzen 9 8940HXApple M5 Max
Cores3218
RAM15 GB48 GB
GPUNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610MApple M5 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b qwen3.6:35b-mlx
Tokens/sec35.9129.4
First chunk9 ms49 ms
TTFT182 ms49 ms
Load timeN/A0.0 s
Memory usage6.5 GB20.5 GB
Memory %43%43%

HW Fit Score Breakdown

google/gemma-4-e4b

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

qwen3.6:35b-mlx

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

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-mlx

Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong 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