Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
36 vs 72
Hardware Fit
100 vs 71
Quality Score
8 vs 72

Hardware

qwen36-distill-apex ministral-3:8b
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 ministral-3:8b
Tokens/sec55.219.8
First chunk210 ms269 ms
TTFT210 ms269 ms
Load time4.8 s10.7 s
Memory usage0.9 GB13.7 GB
Memory %2%86%

HW Fit Score Breakdown

qwen36-distill-apex

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

ministral-3:8b

Speed
44/50
TTFT
20/20
Memory
7/30

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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen36-distill-apex details | View ministral-3:8b 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