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

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

maternion/ling-3.0-tiny:8b

OLLAMA GGUF

bailingmoe3 · 7.9B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
67 vs 68
Hardware Fit
66 vs 98
Quality Score
67 vs 55

Hardware

parable-qwen3-4b-c… maternion/ling-3.0…
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… maternion/ling-3.0…
Tokens/sec4.373.6
First chunk13 ms190 ms
TTFT1.9 s190 ms
Load timeN/A2.9 s
Memory usage3.0 GB5.9 GB
Memory %19%37%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

maternion/ling-3.0-tiny…

Speed
50/50
TTFT
20/20
Memory
28/30

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

maternion/ling-3.0-tiny…

Reasoning
19/20
Coding
17/20
Instruction
3/20
Structured
0/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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