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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

Global Score
36 vs 34
Hardware Fit
100 vs 100
Quality Score
8 vs 6

Hardware

qwen36-distill-apex microllm-250m:latest
MachineMacBook ProMac mini
CPUApple M5 MaxApple M4 Pro
Cores1812
RAM64 GB24 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex microllm-250m:latest
Tokens/sec55.2291.6
First chunk210 ms50 ms
TTFT210 ms79 ms
Load time4.8 s0.0 s
Memory usage0.9 GB0.6 GB
Memory %2%2%

HW Fit Score Breakdown

qwen36-distill-apex

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

microllm-250m:latest

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

Quality

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

microllm-250m:latest

Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View qwen36-distill-apex details | View microllm-250m:latest 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