Back to leaderboard

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 752.39M · Q8_0

Not Rec.

Oct 11, 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
44 vs 81
Hardware Fit
80 vs 89
Quality Score
28 vs 77

Hardware

qwen3.5:0.8b glm-4.7-flash:q4_K_M
MachineMicrosoft WSLASUS
CPUAMD Ryzen 5 5500Intel Core™ i5-14600KF
Cores1220
RAM8 GB32 GB
GPUIntegrated / UnknownNVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 26.04.1 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modeunknownbalanced

Performance

qwen3.5:0.8b glm-4.7-flash:q4_K_M
Tokens/sec126.135.1
First chunk64 ms440 ms
TTFT30.0 s440 ms
Load time0.0 s11.6 s
Memory usage0.5 GB18.4 GB
Memory %7%58%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
50/50
TTFT
0/20
Memory
30/30

glm-4.7-flash:q4_K_M

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

Quality

qwen3.5:0.8b

Reasoning
9/20
Coding
0/20
Instruction
7/20
Structured
1/15
Math
6/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

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 qwen3.5:0.8b 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