Back to leaderboard

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

gemma3:4b

OLLAMA GGUF

gemma3 · 4.3B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
79 vs 76
Hardware Fit
98 vs 92
Quality Score
71 vs 69

Hardware

ministral-3:8b gemma3:4b
MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4 ProCortex-A78AE
Cores126
RAM24 GB7 GB
GPUApple M4 ProIntegrated / Unknown
OSmacOS 15.6.1Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b gemma3:4b
Tokens/sec41.415.0
First chunk257 ms2380 ms
TTFT257 ms2.4 s
Load time5.2 s13.6 s
Memory usage9.0 GB2.6 GB
Memory %38%35%

HW Fit Score Breakdown

ministral-3:8b

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

gemma3:4b

Speed
45/50
TTFT
18/20
Memory
29/30

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

gemma3:4b

Reasoning
11/20
Coding
17/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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