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orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
88 vs 65
Hardware Fit
69 vs 88
Quality Score
96 vs 55

Hardware

orcarouter/Qwen3.8… glm-4.6v-flash
MachineASUSMac Studio
CPUIntel Core™ i5-10400Apple M2 Max
Cores1212
RAM16 GB96 GB
GPUTodesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080Apple M2 Max
OSMicrosoft Windows 10 专业版 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

orcarouter/Qwen3.8… glm-4.6v-flash
Tokens/sec39.549.9
First chunk220 ms27 ms
TTFT3.2 s3.7 s
Load time13.7 s2.7 s
Memory usage14.2 GB0.0 GB
Memory %89%0%

HW Fit Score Breakdown

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

glm-4.6v-flash

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

Quality

orcarouter/Qwen3.8-27B-…

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

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

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