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qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Apr 1, 2026 · Apple M4

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
4 vs 52
Hardware Fit
13 vs 100
Quality Score
0 vs 32

Hardware

qwen3.5:27b smollm2-360m-instr…
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:27b smollm2-360m-instr…
Tokens/sec3.5121.1
First chunk1781 ms106 ms
TTFT52.0 s106 ms
Load time13.4 sN/A
Memory usage21.3 GB0.7 GB
Memory %89%2%

HW Fit Score Breakdown

qwen3.5:27b

Speed
7/50
TTFT
0/20
Memory
6/30

smollm2-360m-instruct

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

Quality

qwen3.5:27b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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

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