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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

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
82 vs 81
Hardware Fit
56 vs 100
Quality Score
93 vs 73

Hardware

google/gemma-4-26b… llama-3.1-8b-instr…
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 5500
Cores1612
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]Navi 44 [Radeon RX 9060 XT]
OSUbuntu 26.04 LTSNobara Linux 43
Archx64x64
Power Modeperformanceperformance

Performance

google/gemma-4-26b… llama-3.1-8b-instr…
Tokens/sec12.035.6
First chunk86 ms52 ms
TTFT2.8 s256 ms
Load time57.2 sN/A
Memory usage9.1 GB8.6 GB
Memory %59%28%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

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

llama-3.1-8b-instruct

Speed
50/50
TTFT
20/20
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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
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