smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

52 vs 89

Hardware Fit

100 vs 95

Quality Score

32 vs 87

Hardware

smollm2:360m qwen/qwen3-8b

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2:360m qwen/qwen3-8b

Tokens/sec117.933.4

First chunkN/A257 ms

TTFT43 ms257 ms

Load time0.4 sN/A

Memory usage1.2 GB4.3 GB

Memory %4%7%

HW Fit Score Breakdown

smollm2:360m

Speed

40/50

TTFT

30/20

Memory

30/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

smollm2:360m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

9/15

Math

4/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

View smollm2:360m details | View qwen/qwen3-8b 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