mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3-next:80b-a3b-instruct-q4_K_M
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 20, 2026 · Intel Xeon® E5-2637 v3
Global Score
77 vs 78
Hardware Fit
100 vs 49
Quality Score
67 vs 91
Hardware
mlx-community/meta… qwen3-next:80b-a3b…
MachineMac miniDell Inc. Precision Tower 7910
CPUApple M4 ProIntel Xeon® E5-2637 v3
Cores1416
RAM64 GB96 GB
GPUApple M4 ProNVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060
OSmacOS 15.7.4Microsoft Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen3-next:80b-a3b…
Tokens/sec54.38.7
First chunk277 ms1524 ms
TTFT277 ms1.5 s
Load timeN/A63.9 s
Memory usage4.2 GB48.3 GB
Memory %7%50%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-next:80b-a3b-inst…
Speed
9/50
TTFT
15/20
Memory
25/30
Quality
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
qwen3-next:80b-a3b-inst…
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
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