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smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
52 vs 71
Hardware Fit
100 vs 56
Quality Score
32 vs 78

Hardware

smollm2-360m-instr… qwen3.5:9b
MachineMacBook AirSystem manufacturer
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060
OSmacOS 26.3Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen3.5:9b
Tokens/sec121.15.3
First chunk106 ms1624 ms
TTFT106 ms1.6 s
Load timeN/A4.0 s
Memory usage0.7 GB7.9 GB
Memory %2%50%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
30/30

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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