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llama3.3:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
73 vs 62
Hardware Fit
51 vs 77
Quality Score
83 vs 55

Hardware

llama3.3:70b google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 82JQ
CPUCortex-X925AMD Ryzen 7 5800H
Cores2016
RAM122 GB16 GB
GPUDevice 2e12NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modeperformancebalanced

Performance

llama3.3:70b google/gemma-4-e4b
Tokens/sec4.627.6
First chunk560 ms23 ms
TTFT560 ms480 ms
Load time13.8 sN/A
Memory usage49.5 GB13.2 GB
Memory %41%83%

HW Fit Score Breakdown

llama3.3:70b

Speed
4/50
TTFT
20/20
Memory
27/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

llama3.3:70b

Reasoning
17/20
Coding
18/20
Instruction
12/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View llama3.3:70b details | View google/gemma-4-e4b 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