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llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Nov 4, 2026 · Intel Core™ i7-9700

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
71 vs 87
Hardware Fit
90 vs 83
Quality Score
63 vs 88

Hardware

llama3.2:3b qwen/qwen3.8-27b
MachineVMware, Inc. VMware Virtual PlatformMacBook Pro
CPUIntel Core™ i7-9700Apple M4 Max
Cores416
RAM16 GB128 GB
GPUIntegrated / UnknownApple M4 Max
OSUbuntu 24.04.5 LTSmacOS 26.5.2
Archx64arm64
Power Modeunknownbalanced

Performance

llama3.2:3b qwen/qwen3.8-27b
Tokens/sec13.029.1
First chunk536 ms9 ms
TTFT536 ms650 ms
Load time82.5 sN/A
Memory usage2.4 GB21.0 GB
Memory %15%16%

HW Fit Score Breakdown

llama3.2:3b

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

qwen/qwen3.8-27b

Speed
33/50
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/qwen3.8-27b

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 llama3.2:3b 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