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llama3.2:3b

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

Nov 4, 2026 · Intel Core™ i7-9700

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
71 vs 76
Hardware Fit
90 vs 89
Quality Score
63 vs 71

Hardware

llama3.2:3b ministral-3:8b
MachineVMware, Inc. VMware Virtual PlatformMacBook Air
CPUIntel Core™ i7-9700Apple M4
Cores410
RAM16 GB32 GB
GPUIntegrated / UnknownApple M4
OSUbuntu 24.04.5 LTSmacOS 26.3
Archx64arm64
Power Modeunknownbalanced

Performance

llama3.2:3b ministral-3:8b
Tokens/sec13.019.5
First chunk536 ms328 ms
TTFT536 ms328 ms
Load time82.5 s1.5 s
Memory usage2.4 GB10.6 GB
Memory %15%33%

HW Fit Score Breakdown

llama3.2:3b

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

ministral-3:8b

Speed
39/50
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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View llama3.2:3b details | View ministral-3:8b 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