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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 19, 2026 · Intel Core™ Ultra X7 358H

mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

Global Score
82 vs 73
Hardware Fit
59 vs 100
Quality Score
92 vs 62

Hardware

Qwen3-80B:80B mlx-community/Yi-1…
MachineGMKtec NucBox EVO-T2SMacBook Air
CPUIntel Core™ Ultra X7 358HApple M4
Cores1610
RAM64 GB32 GB
GPUIntel(R) Arc(TM) B390 GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

Qwen3-80B:80B mlx-community/Yi-1…
Tokens/sec19.329.1
First chunk798 ms451 ms
TTFT798 ms451 ms
Load time38.9 sN/A
Memory usage46.9 GB0.9 GB
Memory %74%3%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

mlx-community/Yi-1.5-6B…

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

Quality

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

mlx-community/Yi-1.5-6B…

Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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