Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
36 vs 81
Hardware Fit
100 vs 100
Quality Score
8 vs 73

Hardware

qwen36-distill-apex llama-3.1-8b-instr…
MachineMacBook ProASUS
CPUApple M5 MaxAMD Ryzen 5 5500
Cores1812
RAM64 GB31 GB
GPUApple M5 MaxNavi 44 [Radeon RX 9060 XT]
OSmacOS 27.0Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

qwen36-distill-apex llama-3.1-8b-instr…
Tokens/sec55.235.6
First chunk210 ms52 ms
TTFT210 ms256 ms
Load time4.8 sN/A
Memory usage0.9 GB8.6 GB
Memory %2%28%

HW Fit Score Breakdown

qwen36-distill-apex

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

llama-3.1-8b-instruct

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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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