Back to leaderboard

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

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
20 vs 81
Hardware Fit
37 vs 89
Quality Score
12 vs 77

Hardware

qwen3.5:27b glm-4.7-flash:q4_K_M
MachineAZW GTR ProASUS
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-14600KF
Cores3220
RAM125 GB32 GB
GPUAMD Radeon 8060SNVIDIA GeForce RTX 4070 Ti SUPER
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3.5:27b glm-4.7-flash:q4_K_M
Tokens/sec10.635.1
First chunk358 ms440 ms
TTFT13.7 s440 ms
Load time10.8 s11.6 s
Memory usage39.7 GB18.4 GB
Memory %32%58%

HW Fit Score Breakdown

qwen3.5:27b

Speed
9/50
TTFT
0/20
Memory
28/30

glm-4.7-flash:q4_K_M

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

Quality

qwen3.5:27b

Reasoning
2/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
8/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor 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

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