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

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

Global Score
67 vs 66
Hardware Fit
66 vs 100
Quality Score
67 vs 52

Hardware

parable-qwen3-4b-c… hf.co/empero-ai/Qw…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0MacBook Pro
CPUIntel Core™ i3-9100FApple M1 Pro
Cores410
RAM16 GB16 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M1 Pro
OSМайкрософт Windows 10 Pro 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

parable-qwen3-4b-c… hf.co/empero-ai/Qw…
Tokens/sec4.340.2
First chunk13 ms325 ms
TTFT1.9 s325 ms
Load timeN/A3.1 s
Memory usage3.0 GB4.7 GB
Memory %19%30%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

hf.co/empero-ai/Qwen3.8…

Speed
50/50
TTFT
20/20
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

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View parable-qwen3-4b-c… details | View hf.co/empero-ai/Qw… 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