ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
lmstudio-community/gemma-4-12b-it-qat
LM-STUDIO GGUFgemma4 · 12B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
79 vs 75
Hardware Fit
98 vs 48
Quality Score
71 vs 86
Hardware
ministral-3:8b lmstudio-community…
MachineMac miniDocker Container
CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM24 GB15 GB
GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
ministral-3:8b lmstudio-community…
Tokens/sec41.45.8
First chunk257 ms101 ms
TTFT257 ms5.3 s
Load time5.2 s11.0 s
Memory usage9.0 GB0.6 GB
Memory %38%4%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
lmstudio-community/gemm…
Speed
10/50
TTFT
8/20
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
lmstudio-community/gemm…
Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest