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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

glm-4.7-flash:latest

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Not Rec.

Mar 22, 2026 · AMD RYZEN AI MAX+ 395

Global Score
67 vs 86
Hardware Fit
66 vs 74
Quality Score
67 vs 91

Hardware

parable-qwen3-4b-c… glm-4.7-flash:latest
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 Modebalancedperformance

Performance

parable-qwen3-4b-c… glm-4.7-flash:latest
Tokens/sec4.347.8
First chunk13 ms194 ms
TTFT1.9 s30.0 s
Load timeN/A7.4 s
Memory usage3.0 GB37.7 GB
Memory %19%30%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

glm-4.7-flash:latest

Speed
44/50
TTFT
0/20
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

glm-4.7-flash:latest

Reasoning
19/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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