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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

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
67 vs 68
Hardware Fit
66 vs 86
Quality Score
67 vs 60

Hardware

parable-qwen3-4b-c… qwen3.5:4b
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… qwen3.5:4b
Tokens/sec4.336.5
First chunk13 ms207 ms
TTFT1.9 s6.6 s
Load timeN/A3.2 s
Memory usage3.0 GB5.3 GB
Memory %19%33%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

qwen3.5:4b

Speed
50/50
TTFT
7/20
Memory
29/30

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

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
12/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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