Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 22, 2026 · NVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
87 vs 79
Hardware Fit
76 vs 98
Quality Score
91 vs 71
Hardware
Qwen3-80B:80B ministral-3:8b
MachineHP HyperX OMEN Transcend Gaming Laptop 14-ga0xxx5CD612DXMLMac mini
CPUNVIDIA RTX Spark N1X (6144-core GPU, 20-core ) RTX Spark N1X (6144-core GPU, 20-core )Apple M4 Pro
Cores2012
RAM55 GB24 GB
GPUNVIDIA RTX Spark N1X (6144-core Blackwell RTX GPU), NVIDIA NPUApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.28000macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
Qwen3-80B:80B ministral-3:8b
Tokens/sec43.641.4
First chunk409 ms257 ms
TTFT409 ms257 ms
Load time80.3 s5.2 s
Memory usage48.0 GB9.0 GB
Memory %88%38%
HW Fit Score Breakdown
Qwen3-80B:80B
Speed
50/50
TTFT
20/20
Memory
6/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
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
ministral-3:8b
Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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