Back to leaderboard

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
81 vs 85
Hardware Fit
100 vs 95
Quality Score
73 vs 81

Hardware

llama3.1:8b gemma4:e4b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M2 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M2 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b gemma4:e4b-mlx
Tokens/sec70.247.3
First chunk58 ms258 ms
TTFT58 ms258 ms
Load time4.1 s5.1 s
Memory usage4.9 GB7.9 GB
Memory %15%49%

HW Fit Score Breakdown

llama3.1:8b

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

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
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
View llama3.1:8b details | View gemma4:e4b-mlx 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