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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
62 vs 81
Hardware Fit
10 vs 100
Quality Score
84 vs 73

Hardware

Qwen3-80B:80B llama3.1:8b
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorIntel Core™ i5-14400F
Cores3216
RAM31 GB32 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUNVIDIA GeForce RTX 5060 Ti
OSMicrosoft Windows 11 Home 10.0.26200Microsoft Windows 11 Professionnel 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B llama3.1:8b
Tokens/sec4.970.2
First chunk8006 ms58 ms
TTFT8.0 s58 ms
Load time63.7 s4.1 s
Memory usage47.3 GB4.9 GB
Memory %153%15%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
6/50
TTFT
4/20
Memory
0/30

llama3.1:8b

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

Quality

Qwen3-80B:80B

Reasoning
17/20
Coding
19/20
Instruction
13/20
Structured
13/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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
View Qwen3-80B:80B details | View llama3.1:8b 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