qwen3.8-27b-claude-opus-reasoning-distilled
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Aug 20, 2026 · Apple M4 Max
lmstudio-community/meta-llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q4_K_M
Mar 5, 2026 · Apple M4 Pro
Global Score
80 vs 78
Hardware Fit
63 vs 100
Quality Score
87 vs 69
Hardware
qwen3.8-27b-claude… lmstudio-community…
MachineMacBook ProMac mini
CPUApple M4 MaxApple M4 Pro
Cores1614
RAM128 GB64 GB
GPUApple M4 MaxApple M4 Pro
OSmacOS 26.5.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.8-27b-claude… lmstudio-community…
Tokens/sec24.046.0
First chunk20 ms245 ms
TTFT4.5 s245 ms
Load timeN/AN/A
Memory usage15.7 GB4.6 GB
Memory %12%7%
HW Fit Score Breakdown
qwen3.8-27b-claude-opus…
Speed
27/50
TTFT
6/20
Memory
30/30
lmstudio-community/meta…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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