zai-org/glm-4.7-flash
LM-STUDIO GGUFdeepseek2 · 30B · Q4_K_M
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
Global Score
82 vs 88
Hardware Fit
83 vs 70
Quality Score
81 vs 96
Hardware
zai-org/glm-4.7-fl… qwen3.8-27b-fable-…
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM120 GB128 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4 Max
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
zai-org/glm-4.7-fl… qwen3.8-27b-fable-…
Tokens/sec36.730.4
First chunk29 ms27 ms
TTFT131 ms4.4 s
Load time82.7 sN/A
Memory usage47.4 GB19.9 GB
Memory %40%16%
HW Fit Score Breakdown
zai-org/glm-4.7-flash
Speed
35/50
TTFT
20/20
Memory
28/30
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
Quality
zai-org/glm-4.7-flash
Reasoning
14/20
Coding
18/20
Instruction
14/20
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