glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
81 vs 87
Hardware Fit
89 vs 100
Quality Score
77 vs 81
Hardware
glm-4.7-flash:q4_K_M qwen3-vl-4b-instruct
MachineASUSMac Studio
CPUIntel Core™ i5-14600KFApple M2 Max
Cores2012
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M qwen3-vl-4b-instruct
Tokens/sec35.171.6
First chunk440 ms5 ms
TTFT440 ms157 ms
Load time11.6 sN/A
Memory usage18.4 GB20.5 GB
Memory %58%21%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
qwen3-vl-4b-instruct
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
qwen3-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest