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llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Mar 5, 2026 · AMD Ryzen 9 8945HS

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
62 vs 87
Hardware Fit
91 vs 83
Quality Score
50 vs 88

Hardware

llama3.2:1b qwen/qwen3.8-27b
MachineASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UVMacBook Pro
CPUAMD Ryzen 9 8945HSApple M4 Max
Cores1616
RAM15 GB128 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M4 Max
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.2:1b qwen/qwen3.8-27b
Tokens/sec170.229.1
First chunk142 ms9 ms
TTFT142 ms650 ms
Load time3.2 sN/A
Memory usage1.6 GB21.0 GB
Memory %11%16%

HW Fit Score Breakdown

llama3.2:1b

Speed
50/50
TTFT
20/20
Memory
21/30

qwen/qwen3.8-27b

Speed
33/50
TTFT
20/20
Memory
30/30

Quality

llama3.2:1b

Reasoning
4/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
0/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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
View llama3.2:1b details | View qwen/qwen3.8-27b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest