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

LM-STUDIO GGUF

llama · 8B · Q4_K_M

Good

Mar 5, 2026 · Apple M4 Pro

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
78 vs 65
Hardware Fit
100 vs 96
Quality Score
69 vs 51

Hardware

lmstudio-community… qwen3-4b-qwen3.6-p…
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM64 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.7.4macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

lmstudio-community… qwen3-4b-qwen3.6-p…
Tokens/sec46.099.6
First chunk245 ms18 ms
TTFT245 ms1.6 s
Load timeN/A4.8 s
Memory usage4.6 GB0.3 GB
Memory %7%0%

HW Fit Score Breakdown

lmstudio-community/meta…

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

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

Quality

lmstudio-community/meta…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

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