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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest