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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
81 vs 81
Hardware Fit
89 vs 100
Quality Score
77 vs 73

Hardware

glm-4.7-flash:q4_K_M llama-3.1-8b-instr…
MachineASUSASUS
CPUIntel Core™ i5-14600KFAMD Ryzen 5 5500
Cores2012
RAM32 GB31 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERNavi 44 [Radeon RX 9060 XT]
OSMicrosoft Windows 11 Famille 10.0.26200Nobara Linux 43
Archx64x64
Power Modebalancedperformance

Performance

glm-4.7-flash:q4_K_M llama-3.1-8b-instr…
Tokens/sec35.135.6
First chunk440 ms52 ms
TTFT440 ms256 ms
Load time11.6 sN/A
Memory usage18.4 GB8.6 GB
Memory %58%28%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

llama-3.1-8b-instruct

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

Quality

glm-4.7-flash:q4_K_M

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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View llama-3.1-8b-instr… details

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