smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score

52 vs 61

Hardware Fit

100 vs 69

Quality Score

32 vs 58

Hardware

smollm2-360m-instr… qwen3.5:4b

MachineMacBook AirGigabyte Technology Co., Ltd. H170M-D3H

CPUApple M4Intel Core™ i5-6500

Cores104

RAM32 GB16 GB

GPUApple M4GP104 [GeForce GTX 1070]

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

smollm2-360m-instr… qwen3.5:4b

Tokens/sec121.135.7

First chunk106 ms438 ms

TTFT106 ms5.1 s

Load timeN/A40.1 s

Memory usage0.7 GB5.5 GB

Memory %2%35%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:4b

Speed

50/50

TTFT

11/20

Memory

8/30

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

qwen3.5:4b

Reasoning

18/20

Coding

1/20

Instruction

8/20

Structured

8/15

Math

13/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen3.5:4b 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