qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
81 vs 81
Hardware Fit
96 vs 89
Quality Score
75 vs 77
Hardware
qwen3:8b glm-4.7-flash:q4_K_M
MachineASUSASUS
CPUIntel Core™ i5-14600KFIntel Core™ i5-14600KF
Cores2020
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen3:8b glm-4.7-flash:q4_K_M
Tokens/sec109.135.1
First chunk190 ms440 ms
TTFT190 ms440 ms
Load time4.3 s11.6 s
Memory usage5.6 GB18.4 GB
Memory %18%58%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
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
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