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smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3.5-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
41 vs 75
Hardware Fit
100 vs 54
Quality Score
15 vs 84

Hardware

smollm2:135m qwen3.5-27b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:135m qwen3.5-27b
Tokens/sec241.06.6
First chunkN/A4364 ms
TTFT39 ms4.4 s
Load time0.4 sN/A
Memory usage0.6 GB15.0 GB
Memory %2%47%

HW Fit Score Breakdown

smollm2:135m

Speed
40/50
TTFT
30/20
Memory
30/30

qwen3.5-27b

Speed
13/50
TTFT
11/20
Memory
30/30

Quality

smollm2:135m

Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

qwen3.5-27b

Reasoning
17/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View smollm2:135m details | View qwen3.5-27b 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