smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score

52 vs 80

Hardware Fit

100 vs 85

Quality Score

32 vs 78

Hardware

smollm2-360m-instr… qwen3:8b

MachineMacBook AirHP HP Z8 G4 Workstation

CPUApple M4Intel Xeon® Gold 6230

Cores1080

RAM32 GB252 GB

GPUApple M4TU104GL [Quadro RTX 5000]

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

smollm2-360m-instr… qwen3:8b

Tokens/sec121.165.1

First chunk106 ms289 ms

TTFT106 ms4.2 s

Load timeN/A4.6 s

Memory usage0.7 GB5.6 GB

Memory %2%2%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:8b

Speed

50/50

TTFT

5/20

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

qwen3:8b

Reasoning

17/20

Coding

10/20

Instruction

14/20

Structured

15/15

Math

12/15

Multilingual

10/10

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

View smollm2-360m-instr… details | View qwen3:8b 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