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mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

Global Score
77 vs 67
Hardware Fit
100 vs 66
Quality Score
67 vs 67

Hardware

mlx-community/meta… parable-qwen3-4b-c…
MachineMac miniGigabyte Technology Co., Ltd. H310M S2 2.0
CPUApple M4 ProIntel Core™ i3-9100F
Cores144
RAM64 GB16 GB
GPUApple M4 ProVirtual Desktop Monitor, NVIDIA GeForce GTX 1650
OSmacOS 15.7.4Майкрософт Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/meta… parable-qwen3-4b-c…
Tokens/sec54.34.3
First chunk277 ms13 ms
TTFT277 ms1.9 s
Load timeN/AN/A
Memory usage4.2 GB3.0 GB
Memory %7%19%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

parable-qwen3-4b-claude…

Speed
16/50
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

parable-qwen3-4b-claude…

Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View mlx-community/meta… details | View parable-qwen3-4b-c… details

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