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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

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
81 vs 61
Hardware Fit
89 vs 85
Quality Score
77 vs 51

Hardware

glm-4.7-flash:q4_K_M qwen3:0.6b
MachineASUSLENOVO 20L7CTO1WW
CPUIntel Core™ i5-14600KFIntel Core™ i5-8350U
Cores208
RAM32 GB23 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERKaby Lake-R GT2 [UHD Graphics 620]
OSMicrosoft Windows 11 Famille 10.0.26200Fedora Linux 43
Archx64x64
Power Modebalancedlow-power

Performance

glm-4.7-flash:q4_K_M qwen3:0.6b
Tokens/sec35.127.0
First chunk440 ms597 ms
TTFT440 ms8.7 s
Load time11.6 s1.8 s
Memory usage18.4 GB0.9 GB
Memory %58%4%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3:0.6b

Speed
50/50
TTFT
5/20
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

qwen3:0.6b

Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Adequate
View glm-4.7-flash:q4_K_M details | View qwen3:0.6b 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