glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
81 vs 88
Hardware Fit
89 vs 70
Quality Score
77 vs 96
Hardware
glm-4.7-flash:q4_K_M qwen3.8-27b-fable-…
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Max
Cores2016
RAM32 GB128 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
glm-4.7-flash:q4_K_M qwen3.8-27b-fable-…
Tokens/sec35.130.4
First chunk440 ms27 ms
TTFT440 ms4.4 s
Load time11.6 sN/A
Memory usage18.4 GB19.9 GB
Memory %58%16%
HW Fit Score Breakdown
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
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
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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