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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
81 vs 76
Hardware Fit
100 vs 100
Quality Score
73 vs 66

Hardware

llama3.1:8b google/gemma-3-4b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b google/gemma-3-4b
Tokens/sec70.239.4
First chunk58 ms468 ms
TTFT58 ms468 ms
Load time4.1 sN/A
Memory usage4.9 GB2.8 GB
Memory %15%9%

HW Fit Score Breakdown

llama3.1:8b

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

google/gemma-3-4b

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

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

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View llama3.1:8b details | View google/gemma-3-4b 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