glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen3-next:80b-a3b-instruct-q4_K_M
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 23, 2026 · Intel Xeon® E5-4650 v2
Global Score
65 vs 74
Hardware Fit
88 vs 42
Quality Score
55 vs 87
Hardware
glm-4.6v-flash qwen3-next:80b-a3b…
MachineMac StudioDell Inc. PowerEdge R820
CPUApple M2 MaxIntel Xeon® E5-4650 v2
Cores1280
RAM96 GB256 GB
GPUApple M2 MaxMicrosoft Basic Display Adapter
OSmacOS 26.1Microsoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modebalancedbalanced
Performance
glm-4.6v-flash qwen3-next:80b-a3b…
Tokens/sec49.93.9
First chunk27 ms2089 ms
TTFT3.7 s2.1 s
Load time2.7 s73.3 s
Memory usage0.0 GB46.9 GB
Memory %0%18%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen3-next:80b-a3b-inst…
Speed
3/50
TTFT
9/20
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-next:80b-a3b-inst…
Reasoning
18/20
Coding
19/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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