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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )

llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Jun 25, 2026 · Cortex-A78AE

Global Score
87 vs 74
Hardware Fit
76 vs 99
Quality Score
91 vs 63

Hardware

Qwen3-80B:80B llama3.2:3b
MachineHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXMLNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUNVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )Cortex-A78AE
Cores206
RAM55 GB7 GB
GPUNVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPUIntegrated / Unknown
OSMicrosoft Windows 11 Pro 10.0.28000Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B llama3.2:3b
Tokens/sec43.621.1
First chunk409 ms1032 ms
TTFT409 ms1.0 s
Load time80.3 s8.4 s
Memory usage48.0 GB2.4 GB
Memory %88%32%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
50/50
TTFT
20/20
Memory
6/30

llama3.2:3b

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

llama3.2:3b

Reasoning
10/20
Coding
14/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

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