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qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

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

Global Score
65 vs 85
Hardware Fit
96 vs 65
Quality Score
51 vs 93

Hardware

qwen3-4b-qwen3.6-p… unsloth/gemma-4-26…
MachineMac StudioDocker Container
CPUApple M2 MaxIntel Gen Intel® Core™ i9-11900H
Cores1216
RAM96 GB15 GB
GPUApple M2 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3-4b-qwen3.6-p… unsloth/gemma-4-26…
Tokens/sec99.611.9
First chunk18 ms17 ms
TTFT1.6 s3.3 s
Load time4.8 s69.8 s
Memory usage0.3 GB0.5 GB
Memory %0%3%

HW Fit Score Breakdown

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

unsloth/gemma-4-26b-a4b…

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

Quality

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

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
View qwen3-4b-qwen3.6-p… details | View unsloth/gemma-4-26… 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