Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
62 vs 76
Hardware Fit
10 vs 100
Quality Score
84 vs 66
Hardware
Qwen3-80B:80B hf.co/empero-ai/Qw…
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxMacBook Pro
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorApple M1 Pro
Cores3210
RAM31 GB16 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
Qwen3-80B:80B hf.co/empero-ai/Qw…
Tokens/sec4.940.3
First chunk8006 ms101 ms
TTFT8.0 s101 ms
Load time63.7 s2.7 s
Memory usage47.3 GB4.5 GB
Memory %153%28%
HW Fit Score Breakdown
Qwen3-80B:80B
Speed
6/50
TTFT
4/20
Memory
0/30
hf.co/empero-ai/Qwen3.8…
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
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest