glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3-next-80b-t48:latest
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Jul 31, 2026 · Intel Xeon® E5-4620 0
Global Score
81 vs 70
Hardware Fit
89 vs 39
Quality Score
77 vs 83
Hardware
glm-4.7-flash:q4_K_M qwen3-next-80b-t48…
MachineASUSDell Inc. PowerEdge R820
CPUIntel Core™ i5-14600KFIntel Xeon® E5-4620 0
Cores2064
RAM32 GB256 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERMicrosoft Remote Display Adapter, Microsoft Basic Display Adapter
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows Server 2022 Datacenter 10.0.20348
Archx64x64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M qwen3-next-80b-t48…
Tokens/sec35.13.0
First chunk440 ms3265 ms
TTFT440 ms3.3 s
Load time11.6 s82.1 s
Memory usage18.4 GB46.9 GB
Memory %58%18%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
qwen3-next-80b-t48:latest
Speed
3/50
TTFT
6/20
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-next-80b-t48:latest
Reasoning
18/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong 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