Back to leaderboard

gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Not Rec.

Apr 3, 2026 · Apple M4

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

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
33 vs 65
Hardware Fit
50 vs 96
Quality Score
25 vs 51

Hardware

gemma4:26b qwen3-4b-qwen3.6-p…
MachineMac miniMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM24 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:26b qwen3-4b-qwen3.6-p…
Tokens/sec20.099.6
First chunk941 ms18 ms
TTFT30.0 s1.6 s
Load time0.2 s4.8 s
Memory usage20.3 GB0.3 GB
Memory %85%0%

HW Fit Score Breakdown

gemma4:26b

Speed
42/50
TTFT
0/20
Memory
8/30

qwen3-4b-qwen3.6-plus-r…

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

Quality

gemma4:26b

Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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

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