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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

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
81 vs 50
Hardware Fit
89 vs 97
Quality Score
77 vs 30

Hardware

glm-4.7-flash:q4_K_M gemma3:270m
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M3 Pro
Cores2012
RAM32 GB36 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M3 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M gemma3:270m
Tokens/sec35.1239.2
First chunk440 ms127 ms
TTFT440 ms127 ms
Load time11.6 s0.7 s
Memory usage18.4 GB0.6 GB
Memory %58%2%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

gemma3:270m

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

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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