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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
36 vs 45
Hardware Fit
100 vs 67
Quality Score
8 vs 35

Hardware

qwen36-distill-apex yi-coder-1.5b-chat
MachineMacBook ProLENOVO 20BUS00700
CPUApple M5 MaxIntel Core™ i5-5300U
Cores184
RAM64 GB16 GB
GPUApple M5 MaxIntel(R) HD Graphics 5500
OSmacOS 27.0Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen36-distill-apex yi-coder-1.5b-chat
Tokens/sec55.27.7
First chunk210 ms2668 ms
TTFT210 ms2.7 s
Load time4.8 sN/A
Memory usage0.9 GB0.9 GB
Memory %2%6%

HW Fit Score Breakdown

qwen36-distill-apex

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

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

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

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
View qwen36-distill-apex details | View yi-coder-1.5b-chat 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