ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
internlm2_5-1_8b-chat
LM-STUDIO GGUFinternlm2 · Q4_K_M
Mar 8, 2026 · Intel Core™ i5-5300U
Global Score
79 vs 55
Hardware Fit
98 vs 60
Quality Score
71 vs 53
Hardware
ministral-3:8b internlm2_5-1_8b-c…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores124
RAM24 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.6.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
ministral-3:8b internlm2_5-1_8b-c…
Tokens/sec41.46.6
First chunk257 ms3037 ms
TTFT257 ms3.0 s
Load time5.2 sN/A
Memory usage9.0 GB1.1 GB
Memory %38%7%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
internlm2_5-1_8b-chat
Speed
23/50
TTFT
16/20
Memory
21/30
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
internlm2_5-1_8b-chat
Reasoning
10/20
Coding
9/20
Instruction
14/20
Structured
10/15
Math
5/15
Multilingual
5/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
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