smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score

52 vs 80

Hardware Fit

100 vs 98

Quality Score

32 vs 72

Hardware

smollm2-360m-instr… qwen3-vl:30b

MachineMacBook AirASUS

CPUApple M4Intel Core™ Ultra 9 285K

Cores1024

RAM32 GB47 GB

GPUApple M4NVIDIA GeForce RTX 5090, Intel(R) Graphics

OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen3-vl:30b

Tokens/sec121.1208.9

First chunk106 ms102 ms

TTFT106 ms684 ms

Load timeN/A0.1 s

Memory usage0.7 GB22.0 GB

Memory %2%47%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3-vl:30b

Speed

50/50

TTFT

20/20

Memory

28/30

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-vl:30b

Reasoning

14/20

Coding

6/20

Instruction

17/20

Structured

12/15

Math

13/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen3-vl:30b 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