Back to leaderboard

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

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

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

qwen3.5-35b-a3b-uncensored-hauhaucs-aggressive

OPENAI GGUF
Good

Apr 21, 2026 · Apple M2 Max

Global Score
82 vs 62
Hardware Fit
56 vs 100
Quality Score
93 vs 45

Hardware

google/gemma-4-26b… qwen3.5-35b-a3b-un…
MachineDocker ContainerMac Studio
CPUIntel Gen Intel® Core™ i9-11900HApple M2 Max
Cores1612
RAM15 GB96 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Max
OSUbuntu 26.04 LTSmacOS 26.1
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-26b… qwen3.5-35b-a3b-un…
Tokens/sec12.067.9
First chunk86 ms50 ms
TTFT2.8 s75 ms
Load time57.2 s0.0 s
Memory usage9.1 GB0.0 GB
Memory %59%0%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

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

qwen3.5-35b-a3b-uncenso…

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

qwen3.5-35b-a3b-uncenso…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
0/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong
View google/gemma-4-26b… details | View qwen3.5-35b-a3b-un… 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