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

hf.co/openbmb/MiniCPM5-1B-GGUF:F16

OLLAMA GGUF

llama · 1.08B · F16

Good

Aug 26, 2026 · Apple M1 Pro

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

Hardware

google/gemma-4-26b… hf.co/openbmb/Mini…
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… hf.co/openbmb/Mini…
Tokens/sec12.089.1
First chunk86 ms42 ms
TTFT2.8 s42 ms
Load time57.2 s1.6 s
Memory usage9.1 GB3.9 GB
Memory %59%25%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

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

hf.co/openbmb/MiniCPM5-…

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

hf.co/openbmb/MiniCPM5-…

Reasoning
16/20
Coding
9/20
Instruction
4/20
Structured
0/15
Math
14/15
Multilingual
2/10
Reasoning: Strong Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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