google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jun 19, 2026 · Apple M4 Max
Global Score
82 vs 89
Hardware Fit
56 vs 96
Quality Score
93 vs 86
Hardware
google/gemma-4-26b… qwen3-coder:30b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Max
Cores1616
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Max
OSUbuntu 26.04 LTSmacOS 26.5.1
Archx64arm64
Power Modeperformancebalanced
Performance
google/gemma-4-26b… qwen3-coder:30b
Tokens/sec12.089.9
First chunk86 ms188 ms
TTFT2.8 s188 ms
Load time57.2 s4.0 s
Memory usage9.1 GB30.2 GB
Memory %59%47%
HW Fit Score Breakdown
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
qwen3-coder:30b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
google/gemma-4-26b-a4b-…
Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3-coder:30b
Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate 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