qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Aug 28, 2026 · Intel Core™ i5-10210U
Global Score
87 vs 67
Hardware Fit
83 vs 77
Quality Score
88 vs 63
Hardware
qwen/qwen3.8-27b llama3.2:3b
MachineMacBook ProLENOVO 20U30029MB
CPUApple M4 MaxIntel Core™ i5-10210U
Cores168
RAM128 GB15 GB
GPUApple M4 MaxCometLake-U GT2 [UHD Graphics]
OSmacOS 26.5.2Pop 24.04 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen/qwen3.8-27b llama3.2:3b
Tokens/sec29.110.0
First chunk9 ms1166 ms
TTFT650 ms1.2 s
Load timeN/A6.8 s
Memory usage21.0 GB3.8 GB
Memory %16%25%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
llama3.2:3b
Speed
27/50
TTFT
20/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
llama3.2:3b
Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
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