Back to leaderboard

smollm2:135m

OLLAMA GGUF

llama · 134.52M · F16

Marginal

Mar 2, 2026 · Apple M4

gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
41 vs 88
Hardware Fit
100 vs 100
Quality Score
15 vs 83

Hardware

smollm2:135m gemma4:e4b-it-q8_0
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:135m gemma4:e4b-it-q8_0
Tokens/sec241.027.8
First chunkN/A204 ms
TTFT39 ms204 ms
Load time0.4 s6.6 s
Memory usage0.6 GB5.0 GB
Memory %2%31%

HW Fit Score Breakdown

smollm2:135m

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

gemma4:e4b-it-q8_0

Speed
50/50
TTFT
20/20
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

gemma4:e4b-it-q8_0

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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