Back to leaderboard

gemma4:e2b

OLLAMA GGUF

gemma4 · 4.6B · Q4_K_M

Excellent

Oct 12, 2026 · AMD Ryzen 5 5500

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
85 vs 89
Hardware Fit
100 vs 95
Quality Score
78 vs 87

Hardware

gemma4:e2b qwen/qwen3-8b
MachineMicrosoft WSLMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM8 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 26.04.1 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

gemma4:e2b qwen/qwen3-8b
Tokens/sec139.233.4
First chunk51 ms257 ms
TTFT51 ms257 ms
Load time28.5 sN/A
Memory usage0.2 GB4.3 GB
Memory %3%7%

HW Fit Score Breakdown

gemma4:e2b

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:e2b details | View qwen/qwen3-8b 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