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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

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
62 vs 64
Hardware Fit
10 vs 100
Quality Score
84 vs 48

Hardware

Qwen3-80B:80B microsoft/phi-4-mi…
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxMac mini
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorApple M4 Pro
Cores3214
RAM31 GB64 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B microsoft/phi-4-mi…
Tokens/sec4.990.3
First chunk8006 ms198 ms
TTFT8.0 s198 ms
Load time63.7 sN/A
Memory usage47.3 GB2.0 GB
Memory %153%3%

HW Fit Score Breakdown

Qwen3-80B:80B

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

microsoft/phi-4-mini-re…

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

microsoft/phi-4-mini-re…

Reasoning
7/20
Coding
7/20
Instruction
7/20
Structured
7/15
Math
13/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

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