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qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
69 vs 52
Hardware Fit
100 vs 100
Quality Score
56 vs 32

Hardware

qwen2.5-1.5b-instr… smollm2-360m-instr…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-1.5b-instr… smollm2-360m-instr…
Tokens/sec58.1121.1
First chunk211 ms106 ms
TTFT211 ms106 ms
Load timeN/AN/A
Memory usage1.5 GB0.7 GB
Memory %5%2%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

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

smollm2-360m-instruct

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

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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
View qwen2.5-1.5b-instr… details | View smollm2-360m-instr… 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