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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
76 vs 79
Hardware Fit
73 vs 98
Quality Score
77 vs 71

Hardware

glm-4.7-flash:bf16 ministral-3:8b
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4 Pro
Cores2012
RAM122 GB24 GB
GPUDevice 2e12Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.6.1
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 ministral-3:8b
Tokens/sec25.841.4
First chunk605 ms257 ms
TTFT605 ms257 ms
Load time44.2 s5.2 s
Memory usage57.0 GB9.0 GB
Memory %47%38%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

ministral-3:8b

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

Quality

glm-4.7-flash:bf16

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

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
View glm-4.7-flash:bf16 details | View ministral-3:8b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest