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qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 19, 2026 · Apple M4 Max

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

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

Hardware

qwen3-coder:30b google/gemma-4-e4b
MachineMacBook ProASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M4 MaxAMD Ryzen 9 8940HX
Cores1632
RAM64 GB15 GB
GPUApple M4 MaxNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.5.1Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3-coder:30b google/gemma-4-e4b
Tokens/sec89.935.9
First chunk188 ms9 ms
TTFT188 ms182 ms
Load time4.0 sN/A
Memory usage30.2 GB6.5 GB
Memory %47%43%

HW Fit Score Breakdown

qwen3-coder:30b

Speed
50/50
TTFT
20/20
Memory
26/30

google/gemma-4-e4b

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

Quality

qwen3-coder:30b

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen3-coder:30b details | View google/gemma-4-e4b 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