smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3.6:35b-a3b-coding-nvfp4

OLLAMA GGUF

nvfp4

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score

52 vs 76

Hardware Fit

100 vs 77

Quality Score

32 vs 76

Hardware

smollm2-360m-instr… qwen3.6:35b-a3b-co…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB48 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 26.4.1

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen3.6:35b-a3b-co…

Tokens/sec121.172.7

First chunk106 ms147 ms

TTFT106 ms30.0 s

Load timeN/A5.7 s

Memory usage0.7 GB19.6 GB

Memory %2%41%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.6:35b-a3b-coding-…

Speed

50/50

TTFT

0/20

Memory

27/30

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

qwen3.6:35b-a3b-coding-…

Reasoning

19/20

Coding

9/20

Instruction

13/20

Structured

12/15

Math

13/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen3.6:35b-a3b-co… 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