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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

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
81 vs 45
Hardware Fit
89 vs 67
Quality Score
77 vs 35

Hardware

glm-4.7-flash:q4_K_M yi-coder-1.5b-chat
MachineASUSLENOVO 20BUS00700
CPUIntel Core™ i5-14600KFIntel Core™ i5-5300U
Cores204
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERIntel(R) HD Graphics 5500
OSMicrosoft Windows 11 Famille 10.0.26200Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M yi-coder-1.5b-chat
Tokens/sec35.17.7
First chunk440 ms2668 ms
TTFT440 ms2.7 s
Load time11.6 sN/A
Memory usage18.4 GB0.9 GB
Memory %58%6%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

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

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
View glm-4.7-flash:q4_K_M details | View yi-coder-1.5b-chat 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