llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
Global Score
81 vs 83
Hardware Fit
100 vs 68
Quality Score
73 vs 90
Hardware
llama3.1:8b qwen/qwen3.8-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M4 Max
Cores1616
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
llama3.1:8b qwen/qwen3.8-27b
Tokens/sec70.227.6
First chunk58 ms10 ms
TTFT58 ms4.6 s
Load time4.1 sN/A
Memory usage4.9 GB21.0 GB
Memory %15%16%
HW Fit Score Breakdown
llama3.1:8b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
18/20
Instruction
15/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong 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