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

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

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

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

82 vs 74

Hardware Fit

56 vs 66

Quality Score

93 vs 78

Hardware

google/gemma-4-26b… mistralai/magistra…

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… mistralai/magistra…

Tokens/sec12.07.9

First chunk86 ms1356 ms

TTFT2.8 s1.4 s

Load time57.2 sN/A

Memory usage9.1 GB13.2 GB

Memory %59%41%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

Speed

22/50

TTFT

14/20

Memory

20/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

View google/gemma-4-26b… details | View mistralai/magistra… 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