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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

qwen3.6:35b-mlx

OLLAMA GGUF

nvfp4

Not Rec.

Jul 17, 2026 · Apple M5 Max

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

Hardware

glm-4.7-flash:q4_K_M qwen3.6:35b-mlx
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M5 Max
Cores2018
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M5 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

glm-4.7-flash:q4_K_M qwen3.6:35b-mlx
Tokens/sec35.1129.8
First chunk440 ms77 ms
TTFT440 ms30.0 s
Load time11.6 s1.8 s
Memory usage18.4 GB19.7 GB
Memory %58%41%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3.6:35b-mlx

Speed
50/50
TTFT
0/20
Memory
27/30

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

qwen3.6:35b-mlx

Reasoning
19/20
Coding
9/20
Instruction
18/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Adequate Math: Strong 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