Back to leaderboard

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
90 vs 76
Hardware Fit
97 vs 100
Quality Score
87 vs 66

Hardware

Qwen3.8-27B-UD-Q3_… google/gemma-3-4b
Machine—MacBook Air
CPUIntel Gen Intel® Core™ i5-12600KApple M4
Cores1610
RAM31 GB32 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

Qwen3.8-27B-UD-Q3_… google/gemma-3-4b
Tokens/sec39.039.4
First chunk305 ms468 ms
TTFT305 ms468 ms
Load time0.0 sN/A
Memory usage12.5 GB2.8 GB
Memory %41%9%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

google/gemma-3-4b

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

Quality

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View Qwen3.8-27B-UD-Q3_… details | View google/gemma-3-4b 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