Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
36 vs 72
Hardware Fit
100 vs 77
Quality Score
8 vs 70

Hardware

qwen36-distill-apex llama3.1:8b
MachineMacBook ProMacBook Pro
CPUApple M5 MaxApple M1 Pro
Cores1810
RAM64 GB16 GB
GPUApple M5 MaxApple M1 Pro
OSmacOS 27.0macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen36-distill-apex llama3.1:8b
Tokens/sec55.221.5
First chunk210 ms368 ms
TTFT210 ms368 ms
Load time4.8 s6.9 s
Memory usage0.9 GB12.9 GB
Memory %2%81%

HW Fit Score Breakdown

qwen36-distill-apex

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

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

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

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen36-distill-apex details | View llama3.1:8b 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