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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:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
67 vs 76
Hardware Fit
66 vs 73
Quality Score
67 vs 77

Hardware

parable-qwen3-4b-c… glm-4.7-flash:bf16
MachineGigabyte Technology Co., Ltd. H310M S2 2.0NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i3-9100FCortex-X925
Cores420
RAM16 GB122 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Device 2e12
OSМайкрософт Windows 10 Pro 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

parable-qwen3-4b-c… glm-4.7-flash:bf16
Tokens/sec4.325.8
First chunk13 ms605 ms
TTFT1.9 s605 ms
Load timeN/A44.2 s
Memory usage3.0 GB57.0 GB
Memory %19%47%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

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

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

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:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View parable-qwen3-4b-c… details | View glm-4.7-flash:bf16 details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest