Trusted API Gateways

    API Configuration

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    GPT 5.5
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    Opus 4.8

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    我的刀盾Biz
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    60%
    98%Low
    		5.2s
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    Claude
    100%
    98%Barely
    		3.1s
    9527codeBiz
    claude
    7.50%
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    		5.7s
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    Claude Max
    80%
    100%Barely
    		4.5s
    PackyCode
    cc
    100%
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    		3.6s
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    140%
    98%Low
    		3.4s

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    85%Barely
    		7.1s
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    Codex-企业级
    1.8+1088%
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    		7.8s
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    default
    10%
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    		7.2s
    ToknexBiz
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    		12s
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    		10.7s

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    7.50%
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    		5.1s
    AutoRouterID
    ClaudeMax
    8.30%
    100%Barely
    		3.8s
    聚星AIBiz
    claude aws官转
    5.2-56%
    98%Barely
    		5.8s
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    cc-max
    6+20%
    98%Barely
    		5s
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    		4.5s

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    8.30%
    100%Barely
    		2.8s
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    claude aws官转
    4.6-55%
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    		5.1s
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    Claude Code专用
    7.50%
    100%Barely
    		3.3s
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    100%
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    		2.9s
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    		4.4s
    AutoRouterID
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    50%
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    		3s
    9527codeBiz
    claude-企业
    5.4+13%
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    		4.9s
    DuckCodingBiz
    Claude Code专用
    4.50%
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    		3.5s
    RightCode
    Claude
    60%
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    		3.3s
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    ClaudeCode--MAX分组
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    		3.5s

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    codex
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    		4s
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    		4s
    ToknexBiz
    Openai Pro
    1.3-29%
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    		5s
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    大客户专用
    1.30%
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    		4.6s
    DuckCodingBiz
    CodeX专用
    20%
    100%Barely
    		2.6s
    AnPin AIBiz
    codex-gpt
    0.40%
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    		2.7s

    FAQ

    What This Check Does

    This page helps you quickly judge whether an AI gateway is forwarding a real upstream model reliably or whether it shows signs of wrapping, impersonation, protocol mismatch, or watered-down capability. We send controlled probe requests and compare response structure, knowledge behavior, identity consistency, thinking traces, and signature fingerprints. It is not a formal audit and it does not guarantee perfect accuracy, but it gives you a low-cost technical sanity check before you buy, integrate, or rely on an AI gateway for production traffic.

    Recommended AI gateways?

    I have tried many AI gateways recently and recorded my usage notes in this document. You can refer to the API review document

    What is an AI gateway?

    An AI gateway sits between you and an upstream model provider. It forwards requests, normalizes billing, switches providers, or wraps multiple model backends behind one interface. That can be convenient, but it also means you are no longer talking directly to the original model vendor.

    What risks does it introduce?

    Common risks include protocol mismatches, identity substitution, abnormal knowledge behavior, modified responses, unclear logging or key handling, and uptime that depends on a hidden upstream. Some services also market one model name while routing traffic to a weaker or different backend.

    How do we detect them?

    We send structured probe requests and score the results across protocol consistency, response structure, knowledge answers, identity consistency, thinking traces, and signature fingerprints. Instead of trusting a single field, the tool cross-checks multiple technical signals to surface suspicious AI gateway behavior faster.

    If a site ranks near the top, is topping up absolutely safe?

    Technical metrics are not a guarantee of operator credibility. Our algorithm can identify whether an endpoint appears genuine and stable through repeated probes, but it cannot predict how long the operator will remain in business. Third-party relay services are heavily affected by upstream policy changes, and providers change frequently in this industry. For your financial safety, stay risk-aware and start with the smallest possible top-up. Only consider small renewals after you have confirmed stable long-term service, and avoid stocking up a large balance at once in case the provider shuts down unexpectedly.