smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score

52 vs 83

Hardware Fit

100 vs 100

Quality Score

32 vs 76

Hardware

smollm2-360m-instr… qwen3-5-4b-q4-k-m

MachineMacBook AirMac Pro

CPUApple M4Intel Core™ i5-10400

Cores1012

RAM32 GB32 GB

GPUApple M4AMD Radeon RX 6700 XT

OSmacOS 26.3macOS 26.5.1

Archarm64x64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen3-5-4b-q4-k-m

Tokens/sec121.162.7

First chunk106 ms278 ms

TTFT106 ms278 ms

Load timeN/A0.0 s

Memory usage0.7 GB0.0 GB

Memory %2%0%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3-5-4b-q4-k-m

Speed

50/50

TTFT

20/20

Memory

30/30

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-q4-k-m

Reasoning

14/20

Coding

15/20

Instruction

15/20

Structured

15/15

Math

8/15

Multilingual

9/10

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

View smollm2-360m-instr… details | View qwen3-5-4b-q4-k-m 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