Back to leaderboard

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-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

Global Score
81 vs 82
Hardware Fit
89 vs 80
Quality Score
77 vs 83

Hardware

glm-4.7-flash:q4_K_M qwen3.6-35b-a3b
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 qwen3.6-35b-a3b
Tokens/sec35.154.7
First chunk440 ms32 ms
TTFT440 ms30.0 s
Load time11.6 sN/A
Memory usage18.4 GB30.3 GB
Memory %58%32%

HW Fit Score Breakdown

glm-4.7-flash:q4_K_M

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

qwen3.6-35b-a3b

Speed
50/50
TTFT
0/20
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

qwen3.6-35b-a3b

Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.7-flash:q4_K_M details | View qwen3.6-35b-a3b 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