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

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
67 vs 74
Hardware Fit
66 vs 41
Quality Score
67 vs 88

Hardware

parable-qwen3-4b-c… muse-glimmer
MachineGigabyte Technology Co., Ltd. H310M S2 2.0AZW GTR Pro
CPUIntel Core™ i3-9100FAMD RYZEN AI MAX+ 395
Cores432
RAM16 GB125 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Radeon 8060S
OSМайкрософт Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power

Performance

parable-qwen3-4b-c… muse-glimmer
Tokens/sec4.312.1
First chunk13 ms8749 ms
TTFT1.9 s8.7 s
Load timeN/A0.3 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

muse-glimmer

Speed
10/50
TTFT
1/20
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

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong 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