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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

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
81 vs 64
Hardware Fit
89 vs 69
Quality Score
77 vs 62

Hardware

glm-4.7-flash:q4_K_M qwen3.5:4b
MachineASUSLENOVO 20U30029MB
CPUIntel Core™ i5-14600KFIntel Core™ i5-10210U
Cores208
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERCometLake-U GT2 [UHD Graphics]
OSMicrosoft Windows 11 Famille 10.0.26200Pop 24.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

glm-4.7-flash:q4_K_M qwen3.5:4b
Tokens/sec35.17.4
First chunk440 ms1815 ms
TTFT440 ms1.8 s
Load time11.6 s10.9 s
Memory usage18.4 GB3.5 GB
Memory %58%23%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3.5:4b

Speed
19/50
TTFT
20/20
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

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View qwen3.5:4b 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