smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score

52 vs 81

Hardware Fit

100 vs 96

Quality Score

32 vs 75

Hardware

smollm2:360m qwen3:8b

MachineMacBook AirASUS

CPUApple M4Intel Core™ i5-14600KF

Cores1020

RAM32 GB32 GB

GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER

OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

smollm2:360m qwen3:8b

Tokens/sec117.9109.1

First chunkN/A190 ms

TTFT43 ms190 ms

Load time0.4 s4.3 s

Memory usage1.2 GB5.6 GB

Memory %4%18%

HW Fit Score Breakdown

smollm2:360m

Speed

40/50

TTFT

30/20

Memory

30/30

qwen3:8b

Speed

50/50

TTFT

20/20

Memory

26/30

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

qwen3:8b

Reasoning

15/20

Coding

16/20

Instruction

14/20

Structured

14/15

Math

6/15

Multilingual

10/10

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

View smollm2:360m details | View 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