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llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Nov 4, 2026 · Intel Core™ i7-9700

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
71 vs 89
Hardware Fit
90 vs 95
Quality Score
63 vs 87

Hardware

llama3.2:3b qwen/qwen3-8b
MachineVMware, Inc. VMware Virtual PlatformMac mini
CPUIntel Core™ i7-9700Apple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntegrated / UnknownApple M4 Pro
OSUbuntu 24.04.5 LTSmacOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

llama3.2:3b qwen/qwen3-8b
Tokens/sec13.033.4
First chunk536 ms257 ms
TTFT536 ms257 ms
Load time82.5 sN/A
Memory usage2.4 GB4.3 GB
Memory %15%7%

HW Fit Score Breakdown

llama3.2:3b

Speed
40/50
TTFT
20/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

llama3.2:3b

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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 llama3.2:3b 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