smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen2.5:72b

OLLAMA GGUF

qwen2 · 72.7B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

Global Score

52 vs 75

Hardware Fit

100 vs 50

Quality Score

32 vs 86

Hardware

smollm2-360m-instr… qwen2.5:72b

MachineMacBook AirNVIDIA NVIDIA_DGX_Spark

CPUApple M4Cortex-X925

Cores1020

RAM32 GB122 GB

GPUApple M4Device 2e12

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

smollm2-360m-instr… qwen2.5:72b

Tokens/sec121.14.4

First chunk106 ms529 ms

TTFT106 ms529 ms

Load timeN/A49.7 s

Memory usage0.7 GB54.0 GB

Memory %2%44%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen2.5:72b

Speed

4/50

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

qwen2.5:72b

Reasoning

19/20

Coding

19/20

Instruction

12/20

Structured

14/15

Math

12/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen2.5:72b 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