Back to leaderboard

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 4, 2026 · Intel Gen Intel® Core™ i7-12700K

Global Score
76 vs 80
Hardware Fit
100 vs 60
Quality Score
66 vs 88

Hardware

google/gemma-3-4b qwen3-coder:30b
MachineMacBook AirASUS
CPUApple M4Intel Gen Intel® Core™ i7-12700K
Cores1020
RAM32 GB96 GB
GPUApple M4Parsec Virtual Display Adapter, NVIDIA GeForce RTX 2060
OSmacOS 26.3Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

google/gemma-3-4b qwen3-coder:30b
Tokens/sec39.414.7
First chunk468 ms796 ms
TTFT468 ms796 ms
Load timeN/A0.2 s
Memory usage2.8 GB17.9 GB
Memory %9%19%

HW Fit Score Breakdown

google/gemma-3-4b

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

qwen3-coder:30b

Speed
14/50
TTFT
19/20
Memory
27/30

Quality

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3-coder:30b

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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