Back to leaderboard

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Mar 5, 2026 · AMD Ryzen 9 8945HS

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
62 vs 89
Hardware Fit
91 vs 95
Quality Score
50 vs 87

Hardware

llama3.2:1b qwen/qwen3-8b
MachineASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UVMac mini
CPUAMD Ryzen 9 8945HSApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M4 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.2:1b qwen/qwen3-8b
Tokens/sec170.233.4
First chunk142 ms257 ms
TTFT142 ms257 ms
Load time3.2 sN/A
Memory usage1.6 GB4.3 GB
Memory %11%7%

HW Fit Score Breakdown

llama3.2:1b

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

qwen/qwen3-8b

Speed
45/50
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/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama3.2:1b details | View qwen/qwen3-8b 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