Back to leaderboard

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

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

Hardware

llama-3.1-8b-instr… glm-4.7-flash:q4_K_M
MachineASUSASUS
CPUAMD Ryzen 5 5500Intel Core™ i5-14600KF
Cores1220
RAM31 GB32 GB
GPUNavi 44 [Radeon RX 9060 XT]NVIDIA GeForce RTX 4070 Ti SUPER
OSNobara Linux 43Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… glm-4.7-flash:q4_K_M
Tokens/sec35.635.1
First chunk52 ms440 ms
TTFT256 ms440 ms
Load timeN/A11.6 s
Memory usage8.6 GB18.4 GB
Memory %28%58%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

glm-4.7-flash:q4_K_M

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

Quality

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

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
View llama-3.1-8b-instr… details | View glm-4.7-flash:q4_K_M 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