qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
65 vs 36
Hardware Fit
92 vs 100
Quality Score
54 vs 8
Hardware
qwen2.5:1.5b qwen36-distill-apex
MachineiMacMacBook Pro
CPUIntel Core™ i7-4771Apple M5 Max
Cores818
RAM32 GB64 GB
GPUNVIDIA GeForce GTX 780MApple M5 Max
OSmacOS 15.7.3macOS 27.0
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b qwen36-distill-apex
Tokens/sec19.655.2
First chunk690 ms210 ms
TTFT690 ms210 ms
Load time21.4 s4.8 s
Memory usage1.0 GB0.9 GB
Memory %3%2%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest