glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
81 vs 57
Hardware Fit
89 vs 61
Quality Score
77 vs 55
Hardware
glm-4.7-flash:q4_K_M qwen3.5:9b
MachineASUSAZW GTR Pro
CPUIntel Core™ i5-14600KFAMD RYZEN AI MAX+ 395
Cores2032
RAM32 GB125 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERAMD Radeon 8060S
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 24.04.4 LTS
Archx64x64
Power Modebalancedlow-power
Performance
glm-4.7-flash:q4_K_M qwen3.5:9b
Tokens/sec35.130.3
First chunk440 ms205 ms
TTFT440 ms8.7 s
Load time11.6 s5.6 s
Memory usage18.4 GB18.8 GB
Memory %58%15%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
qwen3.5:9b
Speed
30/50
TTFT
1/20
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
qwen3.5:9b
Reasoning
17/20
Coding
2/20
Instruction
7/20
Structured
8/15
Math
12/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest