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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-mlx

OLLAMA GGUF

nvfp4

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
82 vs 84
Hardware Fit
56 vs 94
Quality Score
93 vs 80

Hardware

google/gemma-4-26b… qwen3.5:9b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-26b… qwen3.5:9b-mlx
Tokens/sec12.025.0
First chunk86 ms357 ms
TTFT2.8 s357 ms
Load time57.2 s3.8 s
Memory usage9.1 GB8.4 GB
Memory %59%52%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

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

qwen3.5:9b-mlx

Speed
50/50
TTFT
20/20
Memory
24/30

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-mlx

Reasoning
16/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View google/gemma-4-26b… details | View qwen3.5:9b-mlx details

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