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smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen2.5:3b

OLLAMA GGUF

qwen2 · 3.1B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
52 vs 77
Hardware Fit
100 vs 100
Quality Score
32 vs 67

Hardware

smollm2-360m-instr… qwen2.5:3b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… qwen2.5:3b
Tokens/sec121.147.2
First chunk106 msN/A
TTFT106 ms168 ms
Load timeN/A0.5 s
Memory usage0.7 GB4.0 GB
Memory %2%13%

HW Fit Score Breakdown

smollm2-360m-instruct

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

qwen2.5:3b

Speed
40/50
TTFT
30/20
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

qwen2.5:3b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View smollm2-360m-instr… details | View qwen2.5:3b 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