Back to leaderboard

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score
41 vs 66
Hardware Fit
100 vs 34
Quality Score
15 vs 80

Hardware

smollm2:135m qwen3.5:27b
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:135m qwen3.5:27b
Tokens/sec241.04.0
First chunkN/A1655 ms
TTFT39 ms1.7 s
Load time0.4 s12.9 s
Memory usage0.6 GB21.3 GB
Memory %2%89%

HW Fit Score Breakdown

smollm2:135m

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

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

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
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak 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