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qwen2.5-0.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 0.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
52 vs 72
Hardware Fit
100 vs 77
Quality Score
31 vs 70

Hardware

qwen2.5-0.5b-instr… llama3.1:8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… llama3.1:8b
Tokens/sec257.521.5
First chunk99 ms368 ms
TTFT99 ms368 ms
Load timeN/A6.9 s
Memory usage0.3 GB12.9 GB
Memory %1%81%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct-mlx

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

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

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

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5-0.5b-instr… details | View llama3.1:8b 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