qwen2.5-0.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 0.5B · 4bit
Mar 4, 2026 · Apple M4
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
52 vs 36
Hardware Fit
100 vs 100
Quality Score
31 vs 8
Hardware
qwen2.5-0.5b-instr… qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen2.5-0.5b-instr… qwen36-distill-apex
Tokens/sec257.555.2
First chunk99 ms210 ms
TTFT99 ms210 ms
Load timeN/A4.8 s
Memory usage0.3 GB0.9 GB
Memory %1%2%
HW Fit Score Breakdown
qwen2.5-0.5b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5-0.5b-instruct-mlx
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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