Back to leaderboard

gemma4:e2b

OLLAMA GGUF

gemma4 · 4.6B · Q4_K_M

Excellent

Oct 12, 2026 · AMD Ryzen 5 5500

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
85 vs 72
Hardware Fit
100 vs 77
Quality Score
78 vs 70

Hardware

gemma4:e2b llama3.1:8b
MachineMicrosoft WSLMacBook Pro
CPUAMD Ryzen 5 5500Apple M1 Pro
Cores1210
RAM8 GB16 GB
GPUIntegrated / UnknownApple M1 Pro
OSUbuntu 26.04.1 LTSmacOS 26.6.2
Archx64arm64
Power Modeunknownbalanced

Performance

gemma4:e2b llama3.1:8b
Tokens/sec139.221.5
First chunk51 ms368 ms
TTFT51 ms368 ms
Load time28.5 s6.9 s
Memory usage0.2 GB12.9 GB
Memory %3%81%

HW Fit Score Breakdown

gemma4:e2b

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

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

Quality

gemma4:e2b

Reasoning
13/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View gemma4:e2b details | View llama3.1:8b 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