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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

zai-org/glm-4.7-flash

LM-STUDIO GGUF

deepseek2 · 30B · Q4_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

Global Score
67 vs 83
Hardware Fit
66 vs 86
Quality Score
67 vs 81

Hardware

parable-qwen3-4b-c… zai-org/glm-4.7-fl…
MachineGigabyte Technology Co., Ltd. H310M S2 2.0ASUS
CPUIntel Core™ i3-9100FAMD Ryzen 7 7800X3D 8-Core Processor
Cores416
RAM16 GB31 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650NVIDIA GeForce RTX 4090, Raphael
OSМайкрософт Windows 10 Pro 10.0.19045cachyos rolling
Archx64x64
Power Modebalancedlow-power

Performance

parable-qwen3-4b-c… zai-org/glm-4.7-fl…
Tokens/sec4.3102.9
First chunk13 ms5 ms
TTFT1.9 s153 ms
Load timeN/AN/A
Memory usage3.0 GB20.8 GB
Memory %19%68%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

zai-org/glm-4.7-flash

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

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

zai-org/glm-4.7-flash

Reasoning
13/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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