mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3:30b-a3b-instruct-2507-q4_K_M
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jul 31, 2026 · Intel Core™ i9-14900K
Global Score
77 vs 83
Hardware Fit
100 vs 70
Quality Score
67 vs 89
Hardware
mlx-community/meta… qwen3:30b-a3b-inst…
MachineMac miniMicro-Star International Co., Ltd. MS-7D98
CPUApple M4 ProIntel Core™ i9-14900K
Cores1432
RAM64 GB128 GB
GPUApple M4 ProIntel(R) UHD Graphics 770, NVIDIA Quadro K4000
OSmacOS 15.7.4Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen3:30b-a3b-inst…
Tokens/sec54.321.2
First chunk277 ms468 ms
TTFT277 ms468 ms
Load timeN/A9.6 s
Memory usage4.2 GB17.7 GB
Memory %7%14%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3:30b-a3b-instruct-…
Speed
20/50
TTFT
20/20
Memory
30/30
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
qwen3:30b-a3b-instruct-…
Reasoning
17/20
Coding
19/20
Instruction
15/20
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