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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
65 vs 85
Hardware Fit
88 vs 77
Quality Score
55 vs 88

Hardware

glm-4.6v-flash qwen3.8:27b-bf16
MachineMac StudioDell Inc. PowerEdge XE8545
CPUApple M2 MaxAMD EPYC 7713 64-Core Processor
Cores12128
RAM96 GB1007 GB
GPUApple M2 MaxGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.1Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

glm-4.6v-flash qwen3.8:27b-bf16
Tokens/sec49.927.2
First chunk27 ms237 ms
TTFT3.7 s237 ms
Load time2.7 s43.8 s
Memory usage0.0 GB68.8 GB
Memory %0%7%

HW Fit Score Breakdown

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

qwen3.8:27b-bf16

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

Quality

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.6v-flash details | View qwen3.8:27b-bf16 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