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

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_XL

Excellent

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

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
85 vs 65
Hardware Fit
65 vs 88
Quality Score
93 vs 55

Hardware

unsloth/gemma-4-26… glm-4.6v-flash
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

unsloth/gemma-4-26… glm-4.6v-flash
Tokens/sec11.949.9
First chunk17 ms27 ms
TTFT3.3 s3.7 s
Load time69.8 s2.7 s
Memory usage0.5 GB0.0 GB
Memory %3%0%

HW Fit Score Breakdown

unsloth/gemma-4-26b-a4b…

Speed
22/50
TTFT
13/20
Memory
30/30

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

unsloth/gemma-4-26b-a4b…

Reasoning
19/20
Coding
19/20
Instruction
19/20
Structured
14/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong 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