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zai-org/glm-4.7-flash

LM-STUDIO GGUF

deepseek2 · 30B · Q4_K_M

Excellent

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
82 vs 79
Hardware Fit
83 vs 98
Quality Score
81 vs 71

Hardware

zai-org/glm-4.7-fl… ministral-3:8b
MachineGMKtec EVO-X3Mac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3212
RAM120 GB24 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

zai-org/glm-4.7-fl… ministral-3:8b
Tokens/sec36.741.4
First chunk29 ms257 ms
TTFT131 ms257 ms
Load time82.7 s5.2 s
Memory usage47.4 GB9.0 GB
Memory %40%38%

HW Fit Score Breakdown

zai-org/glm-4.7-flash

Speed
35/50
TTFT
20/20
Memory
28/30

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

zai-org/glm-4.7-flash

Reasoning
14/20
Coding
18/20
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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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