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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

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
82 vs 70
Hardware Fit
56 vs 89
Quality Score
93 vs 62

Hardware

google/gemma-4-26b… yi-coder:9b
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… yi-coder:9b
Tokens/sec12.019.4
First chunk86 ms287 ms
TTFT2.8 s287 ms
Load time57.2 s0.7 s
Memory usage9.1 GB9.6 GB
Memory %59%30%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

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

yi-coder:9b

Speed
39/50
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

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate
View google/gemma-4-26b… details | View yi-coder:9b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest