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google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
82 vs 71
Hardware Fit
56 vs 56
Quality Score
93 vs 78

Hardware

google/gemma-4-26b… qwen3.5:9b
MachineDocker ContainerSystem manufacturer
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 5500
Cores1612
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3060
OSUbuntu 26.04 LTSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-26b… qwen3.5:9b
Tokens/sec12.05.3
First chunk86 ms1624 ms
TTFT2.8 s1.6 s
Load time57.2 s4.0 s
Memory usage9.1 GB7.9 GB
Memory %59%50%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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