Back to leaderboard

mlx-community/gemma-3-1b-it-8bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
72 vs 36
Hardware Fit
99 vs 100
Quality Score
61 vs 8

Hardware

mlx-community/gemm… qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/gemm… qwen36-distill-apex
Tokens/sec86.355.2
First chunk253 ms210 ms
TTFT253 ms210 ms
Load timeN/A4.8 s
Memory usage1.1 GB0.9 GB
Memory %4%2%

HW Fit Score Breakdown

mlx-community/gemma-3-1…

Speed
50/50
TTFT
20/20
Memory
29/30

qwen36-distill-apex

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

Quality

mlx-community/gemma-3-1…

Reasoning
7/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
2/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View mlx-community/gemm… details | View qwen36-distill-apex 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