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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

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
81 vs 80
Hardware Fit
89 vs 100
Quality Score
77 vs 71

Hardware

glm-4.7-flash:q4_K_M gemma-3-4b-it-q4-k-m
MachineASUSMac Pro
CPUIntel Core™ i5-14600KFIntel Core™ i5-10400
Cores2012
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERAMD Radeon RX 6700 XT
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.1
Archx64x64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M gemma-3-4b-it-q4-k-m
Tokens/sec35.175.0
First chunk440 ms136 ms
TTFT440 ms136 ms
Load time11.6 s0.0 s
Memory usage18.4 GB0.8 GB
Memory %58%3%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

gemma-3-4b-it-q4-k-m

Speed
50/50
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

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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