smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3:32b

OLLAMA GGUF

qwen3 · 32.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score

52 vs 79

Hardware Fit

100 vs 59

Quality Score

32 vs 88

Hardware

smollm2-360m-instr… qwen3:32b

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… qwen3:32b

Tokens/sec121.19.7

First chunk106 ms324 ms

TTFT106 ms324 ms

Load timeN/A24.5 s

Memory usage0.7 GB26.8 GB

Memory %2%22%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:32b

Speed

9/50

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

qwen3:32b

Reasoning

19/20

Coding

18/20

Instruction

15/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen3:32b 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