Back to leaderboard

parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

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

Global Score
67 vs 74
Hardware Fit
66 vs 46
Quality Score
67 vs 86

Hardware

parable-qwen3-4b-c… google/gemma-4-12b…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0Docker Container
CPUIntel Core™ i3-9100FIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650TigerLake-H GT1 [UHD Graphics]
OSМайкрософт Windows 10 Pro 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

parable-qwen3-4b-c… google/gemma-4-12b…
Tokens/sec4.35.0
First chunk13 ms64 ms
TTFT1.9 s5.5 s
Load timeN/A9.5 s
Memory usage3.0 GB0.0 GB
Memory %19%0%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

Quality

parable-qwen3-4b-claude…

Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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