google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
wizardlm2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
82 vs 59
Hardware Fit
56 vs 97
Quality Score
93 vs 43
Hardware
google/gemma-4-26b… wizardlm2:7b
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
google/gemma-4-26b… wizardlm2:7b
Tokens/sec12.023.2
First chunk86 msN/A
TTFT2.8 s264 ms
Load time57.2 s0.6 s
Memory usage9.1 GB9.9 GB
Memory %59%31%
HW Fit Score Breakdown
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
wizardlm2:7b
Speed
37/50
TTFT
30/20
Memory
30/30
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
wizardlm2:7b
Reasoning
6/20
Coding
11/20
Instruction
10/20
Structured
4/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak 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