Back to leaderboard

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
65 vs 90
Hardware Fit
96 vs 78
Quality Score
51 vs 95

Hardware

qwen3-4b-qwen3.6-p… gemma4:e4b-mlx
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M2 Pro
Cores1210
RAM96 GB16 GB
GPUApple M2 MaxApple M2 Pro
OSmacOS 26.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-4b-qwen3.6-p… gemma4:e4b-mlx
Tokens/sec99.646.1
First chunk18 ms284 ms
TTFT1.6 s3.9 s
Load time4.8 s0.1 s
Memory usage0.3 GB10.8 GB
Memory %0%68%

HW Fit Score Breakdown

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

Quality

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-4b-qwen3.6-p… details | View gemma4:e4b-mlx 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