zai-org/glm-4.7-flash
LM-STUDIO GGUFdeepseek2 · 30B · Q4_K_M
Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor
vicuna:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
83 vs 59
Hardware Fit
86 vs 84
Quality Score
81 vs 48
Hardware
zai-org/glm-4.7-fl… vicuna:13b
MachineASUSMacBook Air
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4
Cores1610
RAM31 GB32 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4
OScachyos rollingmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
zai-org/glm-4.7-fl… vicuna:13b
Tokens/sec102.913.4
First chunk5 msN/A
TTFT153 ms438 ms
Load timeN/A0.6 s
Memory usage20.8 GB10.3 GB
Memory %68%32%
HW Fit Score Breakdown
zai-org/glm-4.7-flash
Speed
50/50
TTFT
20/20
Memory
16/30
vicuna:13b
Speed
24/50
TTFT
30/20
Memory
30/30
Quality
zai-org/glm-4.7-flash
Reasoning
13/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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