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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
76 vs 68
Hardware Fit
73 vs 93
Quality Score
77 vs 57

Hardware

glm-4.7-flash:bf16 google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 82JQ
CPUCortex-X925AMD Ryzen 7 5800H
Cores2016
RAM122 GB16 GB
GPUDevice 2e12NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 google/gemma-4-e4b
Tokens/sec25.826.2
First chunk605 ms17 ms
TTFT605 ms572 ms
Load time44.2 sN/A
Memory usage57.0 GB6.5 GB
Memory %47%41%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong 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