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glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.6-35b-a3b-mtp

LM-STUDIO GGUF

qwen35moe · 35B · IQ3_XXS

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
81 vs 77
Hardware Fit
89 vs 55
Quality Score
77 vs 86

Hardware

glm-4.7-flash:q4_K_M qwen3.6-35b-a3b-mtp
MachineASUSDocker Container
CPUIntel Core™ i5-14600KFIntel Gen Intel® Core™ i9-11900H
Cores2016
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Famille 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

glm-4.7-flash:q4_K_M qwen3.6-35b-a3b-mtp
Tokens/sec35.19.2
First chunk440 ms38 ms
TTFT440 ms4.7 s
Load time11.6 s46.7 s
Memory usage18.4 GB0.0 GB
Memory %58%0%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3.6-35b-a3b-mtp

Speed
16/50
TTFT
9/20
Memory
30/30

Quality

glm-4.7-flash:q4_K_M

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

qwen3.6-35b-a3b-mtp

Reasoning
16/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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