Detection results

Model: claude-opus-4-6 · mode full · relay https://test.apiqik-kratos.apiqik.com

Detection invalid: 检测无效: 上游返回余额不足或用量限制错误。请更换有额度的 API key, 或降低检测模式/模型后重新检测。

Total score

Each item is pass / fail / error; the total is a weighted result and may be in-between.

0 / 100

Model authentication Verification completed

Examine the model's self-reported identity, brand residue, and common signs of camouflage.

Pass 100

Think supportive Verification error

Reason: Thinking request failed

Verification error 0

Accurate command reproduction (anti-casing) Verification completed

The model is asked to reproduce a fixed mark verbatim, checking how deterministic the instructions are followed.

Pass 100

System conflict testing Verification completed

Compare user only to explicit system+user, checking whether fixed words are overridden by hidden directives.

Pass 100

Extreme reasoning ability (number theory counting) Verification completed

Use canned reasoning questions to check whether verifiable answers are correct.

Failed 0

Channel detection Verification completed

Hosted channel：Google Vertex

Pass 100

Claude Tokenizer verification Verification completed

Model：claude-opus-4-6 · Observed tokens：12 · Expected tokens：12 · Match：true

Pass 100

Minimalist Input Token Audit Verification completed

Use minimalist requests to observe whether input_tokens is abnormally high and identify implicit System injection.

Pass 100

behavioral style consistency Verification completed

Compare Claude series characteristics through behavioral preferences and answer patterns.

Failed 67

knowledge accuracy Verification completed

Use Anthropic / Claude general knowledge questions to cross-validate whether the backend is as claimed as Claude.

Failed 0

Model declaration consistency Verification error

Comparing request model, response model and identity stability in multiple rounds of returns.

Verification error 0

Message structure specification Verification completed

Check message IDs, SSE event sequences, and content blocks for compliance with Anthropic specifications.

Pass 75

Tool Use/Structured Output Verification completed

Check whether the tool_use block, toolu_ ID, function name and parameter schema are standardized.

Pass 100

streaming consistency Verification completed

Compare stream and non-stream text, token, and end reason for consistency.

Pass 100

Token usage consistency Verification error

Reason: Overall timeout

Verification error 0

Official comparison of the same title Verification error

Reason: Overall timeout

Verification error 0

Hide injection detection Verification error

Reason: Overall timeout

Verification error 0

Security rejection and policy stability Verification error

Reason: Overall timeout

Verification error 0

long context authenticity Verification completed

Use needle-in-haystack to verify that long context windows are honored.

Not applicable —

Multimodal/PDF recognition Verification completed

Submit a PDF probe to confirm that the document understanding link has not been stripped by the transfer station.

Pass 100

How to read this result?

Token 用量存在风险

usage 字段缺失或统计不自洽,建议不要直接依赖该中转站返回的 token 数做计费核算。

First token

4,531ms

Total time

180,001ms

Throughput (T/S)

7.4

Input tokens

3,808

Output tokens

1,326

What does each Claude check cover?

Model authentication: Examine the model's self-reported identity, brand residue, and common signs of camouflage.
Think supportive ⭐: Verify whether server-side exclusive fields such as Claude thinking / signature are transparently transmitted.
Accurate command reproduction (anti-casing): The model is asked to reproduce a fixed mark verbatim, checking how deterministic the instructions are followed.
System conflict testing: Compare user only to explicit system+user, checking whether fixed words are overridden by hidden directives.
Minimalist Input Token Audit: Use minimalist requests to observe whether input_tokens is abnormally high and identify implicit System injection.
Extreme reasoning ability (number theory counting): Use canned reasoning questions to check whether verifiable answers are correct.
Channel detection: Identifies the hosting channel from the response ID prefix.
Claude Tokenizer verification: Count input_tokens with fixed hints compared to calibrated model baseline.
behavioral style consistency: Compare Claude series characteristics through behavioral preferences and answer patterns.
knowledge accuracy: Use Anthropic / Claude general knowledge questions to cross-validate whether the backend is as claimed as Claude.
Model declaration consistency: Comparing request model, response model and identity stability in multiple rounds of returns.
Message structure specification: Check message IDs, SSE event sequences, and content blocks for compliance with Anthropic specifications.
Tool Use/Structured Output: Check whether the tool_use block, toolu_ ID, function name and parameter schema are standardized.
streaming consistency: Compare stream and non-stream text, token, and end reason for consistency.
Token usage consistency: Check that the input / output / cache token fields are complete and authentic.
Official comparison of the same title: The same question compares input consumption and response behavior between channels and official (or baseline).
long context authenticity: Use needle-in-haystack to verify that long context windows are honored.
Multimodal/PDF recognition: Submit a PDF probe to confirm that the document understanding link has not been stripped by the transfer station.
Hide injection detection: Randomized variants cross-check for abnormal signals such as nonce leaks, fixed replies, and suspicious cache reuse.
Security rejection and policy stability: Check if the security policy is stable using denial-of-answer scenarios and rewriting/encoding/progressive variants.