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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

nemotron3:33b

OLLAMA GGUF

nemotron_h_omni · 33.0B · Q4_K_M

Excellent

Jun 28, 2026 · AMD RYZEN AI MAX+ 395

Global Score
79 vs 96
Hardware Fit
98 vs 95
Quality Score
71 vs 97

Hardware

ministral-3:8b nemotron3:33b
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1232
RAM24 GB125 GB
GPUApple M4 ProRadeon 8060S
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

ministral-3:8b nemotron3:33b
Tokens/sec41.462.7
First chunk257 ms372 ms
TTFT257 ms1.0 s
Load time5.2 s13.1 s
Memory usage9.0 GB24.4 GB
Memory %38%20%

HW Fit Score Breakdown

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

nemotron3:33b

Speed
50/50
TTFT
15/20
Memory
30/30

Quality

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

nemotron3:33b

Reasoning
19/20
Coding
18/20
Instruction
20/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View ministral-3:8b details | View nemotron3:33b 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