Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score
36 vs 80
Hardware Fit
100 vs 98
Quality Score
8 vs 72

Hardware

qwen36-distill-apex qwen3-vl:30b
MachineMacBook ProASUS
CPUApple M5 MaxIntel Core™ Ultra 9 285K
Cores1824
RAM64 GB47 GB
GPUApple M5 MaxNVIDIA GeForce RTX 5090, Intel(R) Graphics
OSmacOS 27.0Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen36-distill-apex qwen3-vl:30b
Tokens/sec55.2208.9
First chunk210 ms102 ms
TTFT210 ms684 ms
Load time4.8 s0.1 s
Memory usage0.9 GB22.0 GB
Memory %2%47%

HW Fit Score Breakdown

qwen36-distill-apex

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

qwen3-vl:30b

Speed
50/50
TTFT
20/20
Memory
28/30

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

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong 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