zai-org/glm-4.7-flash

deepseek2 · 30B · Q4_K_M

ECO MODE

ASUS (AMD Ryzen 7 7800X3D 8-Core Processor)

31 GB · cachyos rolling

Tested on July 4, 2026
Top 20% Compare
Global Score
83 /100
Excellent
Hardware Fit
86/100
Quality
81/100

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Hardware

Machine
ASUS
CPU
AMD Ryzen 7 7800X3D 8-Core Processor
Cores
16 threads (8 cores)
Frequency
2.16 GHz
RAM
31 GB
GPU
NVIDIA GeForce RTX 4090, Raphael
OS
cachyos rolling
Arch
x64
Power Mode
low-power

Performance

Tokens/sec
102.9
Standard deviation
±2.2
First chunk latency
5 ms
Time to first token
153 ms
Load time
N/A
Memory usage
20.8 GB (68%)
Total tokens
1257

Score breakdown

Speed
50/50
Time to first token
20/20
Memory
16/30

Quality

Reasoning
13/20
Coding
19/20
Instruction following
14/20
Structured output
15/15
Math
10/15
Multilingual
10/10

Category levels

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version
0.2.1
Runtime
LM Studio
Model format
GGUF
Hardware profile
BALANCED
Result hash
a9c87930afc638e77ae89c1f3216937c186d86889257ecbe2e0406412793deb0

Interpretation

Hardware fit: 86/100. Overall suitability: EXCELLENT (Global 83/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

  • Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.
  • System was in low-power mode during this benchmark.

Bench Environment

Thermal: nominal CPU load: avg 31% (peak 38%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest