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mlx-community/Nanbeige4.1-3B-8bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
53 vs 76
Hardware Fit
99 vs 73
Quality Score
33 vs 77

Hardware

mlx-community/Nanb… glm-4.7-flash:bf16
MachineMacBook AirNVIDIA NVIDIA_DGX_Spark
CPUApple M4Cortex-X925
Cores1020
RAM32 GB122 GB
GPUApple M4Device 2e12
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

mlx-community/Nanb… glm-4.7-flash:bf16
Tokens/sec25.425.8
First chunk266 ms605 ms
TTFT266 ms605 ms
Load timeN/A44.2 s
Memory usage0.0 GB57.0 GB
Memory %0%47%

HW Fit Score Breakdown

mlx-community/Nanbeige4…

Speed
49/50
TTFT
20/20
Memory
30/30

glm-4.7-flash:bf16

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

Quality

mlx-community/Nanbeige4…

Reasoning
10/20
Coding
7/20
Instruction
1/20
Structured
1/15
Math
11/15
Multilingual
3/10
Reasoning: Adequate Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Weak

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

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