qwen3.8-27b-claude-opus-reasoning-distilled
LM-STUDIO GGUFqwen35 · 27B · Q4_K_M
Aug 20, 2026 · Apple M4 Max
lmstudio-community/gemma-4-e4b-it
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
80 vs 76
Hardware Fit
63 vs 67
Quality Score
87 vs 80
Hardware
qwen3.8-27b-claude… lmstudio-community…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen3.8-27b-claude… lmstudio-community…
Tokens/sec24.010.8
First chunk20 ms44 ms
TTFT4.5 s2.0 s
Load timeN/A10.9 s
Memory usage15.7 GB0.0 GB
Memory %12%0%
HW Fit Score Breakdown
qwen3.8-27b-claude-opus…
Speed
27/50
TTFT
6/20
Memory
30/30
lmstudio-community/gemm…
Speed
20/50
TTFT
17/20
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/gemm…
Reasoning
14/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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