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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
76 vs 33
Hardware Fit
73 vs 100
Quality Score
77 vs 4

Hardware

glm-4.7-flash:bf16 microllm-10m:latest
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 microllm-10m:latest
Tokens/sec25.81544.8
First chunk605 ms12 ms
TTFT605 ms12 ms
Load time44.2 s0.0 s
Memory usage57.0 GB0.0 GB
Memory %47%0%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

microllm-10m:latest

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

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

microllm-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View glm-4.7-flash:bf16 details | View microllm-10m:latest details

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