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zai-org/glm-4.7-flash

LM-STUDIO GGUF

deepseek2 · 30B · Q4_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

phi-3-mini-128k-instruct

LM-STUDIO MLX

phi3 · 4bit

Not Rec.

Mar 4, 2026 · Apple M4

Global Score
83 vs 38
Hardware Fit
86 vs 100
Quality Score
81 vs 12

Hardware

zai-org/glm-4.7-fl… phi-3-mini-128k-in…
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… phi-3-mini-128k-in…
Tokens/sec102.944.0
First chunk5 ms384 ms
TTFT153 ms385 ms
Load timeN/AN/A
Memory usage20.8 GB2.0 GB
Memory %68%6%

HW Fit Score Breakdown

zai-org/glm-4.7-flash

Speed
50/50
TTFT
20/20
Memory
16/30

phi-3-mini-128k-instruct

Speed
50/50
TTFT
20/20
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

phi-3-mini-128k-instruct

Reasoning
3/20
Coding
2/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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