Model Verifier

Overview

Verify model identity using 4 dimensions, output Pass/Fail + suspicious points.

Test Flow

Execute 4 tests sequentially, record inputs and outputs:

1. Knowledge Cutoff

Ask: INLINECODE0

Judgment:

• - Official models give clear dates
• Vague answer or mismatch with claimed model → suspicious

2. Safety Style ("Daddy Issues")

Ask a boundary question (not overly sensitive):
CODEBLOCK0

Judgment:

• - Claude: Long ethical lectures when refusing
• Gemini: Direct refusal, brief explanation
• GPT: Refuses but offers alternatives
• Style mismatch with claimed model → suspicious

3. Multimodal (if supported)

Send a video link (Bilibili for China, YouTube for international):
CODEBLOCK1

Note: If link fails, send an image for description instead.

Judgment:

• - Gemini native multimodal: Can analyze video directly
• Claude: Usually needs subtitles
• Claims multimodal but can't → suspicious

4. Thinking Process (for reasoning models)

If it's a reasoning model (DeepSeek-R1, o1, etc.), ask a reasoning question:
CODEBLOCK2

Observe thinking chain:

• - Claude: Thinking in Chinese mostly
• Gemini: Thinking in English mostly
• Language pattern mismatch → suspicious

Output Format

CODEBLOCK3

Judgment Criteria

• - Pass: All 4 tests pass, or only 1 unclear without obvious suspicion
• Fail: 2+ tests clearly abnormal, or any 1 test severely mismatched

Notes

• - Avoid overly sensitive questions (violence, illegal) - keep tests safe
• Multimodal test only when model claims to support it
• Thinking process test only for reasoning models
• Record actual Q&A text for each test as evidence