lmstudio-community/meta-llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q4_K_M
Mar 5, 2026 · Apple M4 Pro
qwen3.8-27b-claude-opus-reasoning-distilled
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Aug 20, 2026 · Apple M4 Max
Global Score
78 vs 80
Hardware Fit
100 vs 63
Quality Score
69 vs 87
Hardware
lmstudio-community… qwen3.8-27b-claude…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Max
Cores1416
RAM64 GB128 GB
GPUApple M4 ProApple M4 Max
OSmacOS 15.7.4macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced
Performance
lmstudio-community… qwen3.8-27b-claude…
Tokens/sec46.024.0
First chunk245 ms20 ms
TTFT245 ms4.5 s
Load timeN/AN/A
Memory usage4.6 GB15.7 GB
Memory %7%12%
HW Fit Score Breakdown
lmstudio-community/meta…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-claude-opus…
Speed
27/50
TTFT
6/20
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
qwen3.8-27b-claude-opus…
Reasoning
19/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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