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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

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
81 vs 18
Hardware Fit
89 vs 53
Quality Score
77 vs 3

Hardware

glm-4.7-flash:q4_K_M qwen3.5:0.8b
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 qwen3.5:0.8b
Tokens/sec35.19.4
First chunk440 ms799 ms
TTFT440 ms30.0 s
Load time11.6 s3.3 s
Memory usage18.4 GB1.9 GB
Memory %58%8%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
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

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View glm-4.7-flash:q4_K_M details | View qwen3.5:0.8b 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