smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 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-instr… 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-instr… qwen3:8b

Tokens/sec121.1109.1

First chunk106 ms190 ms

TTFT106 ms190 ms

Load timeN/A4.3 s

Memory usage0.7 GB5.6 GB

Memory %2%18%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:8b

Speed

50/50

TTFT

20/20

Memory

26/30

Quality

smollm2-360m-instruct

Reasoning

4/20

Coding

3/20

Instruction

12/20

Structured

7/15

Math

2/15

Multilingual

4/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak 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-instr… 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