mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Gemma4-26B:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor
Global Score
77 vs 90
Hardware Fit
100 vs 89
Quality Score
67 vs 90
Hardware
mlx-community/meta… Gemma4-26B:26b
MachineMac miniHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUApple M4 ProAMD Ryzen 9 9955HX3D 16-Core Processor
Cores1432
RAM64 GB31 GB
GPUApple M4 ProAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSmacOS 15.7.4Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… Gemma4-26B:26b
Tokens/sec54.339.2
First chunk277 ms1484 ms
TTFT277 ms1.5 s
Load timeN/A42.1 s
Memory usage4.2 GB17.0 GB
Memory %7%55%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
Gemma4-26B:26b
Speed
49/50
TTFT
17/20
Memory
23/30
Quality
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Gemma4-26B:26b
Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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