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<title>低过滤云 API — Abliterated / Uncensored 推理 · OpenAI 兼容按量 — AINav</title>
<meta name="description" content="低过滤云 API:Venice / NinjaChat;红队与 Strix 自动化审计的模型档位(Flash 快扫 ≠ 深扫最强)。OpenAI 兼容、按量计费。">
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<div class="cp-top">
<div class="cp-top-inner">
<div class="cp-nav" data-plan-nav></div>
<div class="cp-toolbar">
<button type="button" class="theme-btn" data-theme-set="system">跟随系统</button>
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<div class="cp-wrap">
<h1>低过滤云 API</h1>
<p class="cp-subtitle">Abliterated / Uncensored 推理 API · 云端调用 · OpenAI 兼容 · 按量计费。含 Strix 自动化审计的模型档位对照。</p>
<p class="cp-related">日常旗舰请看 <a href="model-plan.html">模型选型</a>;本机跑开源权重看 <a href="local-model-plan.html">本地模型</a>;编程套餐看 <a href="coding-plan.html">编程套餐</a>;Agent 编排看 <a href="agent-plan.html">Agent 横评</a>。主流推理云(OpenRouter / Together 等)在百科「AI 模型 API」分类。</p>
<p class="cp-updated-line"><span class="cp-updated">最后更新:2026-09-23</span> · Strix 模型 ID 对照 <a href="https://docs.strix.ai/llm-providers/overview" target="_blank" rel="noopener noreferrer">docs.strix.ai</a></p>
<div class="cp-notice">
<div class="cp-notice-head">用途边界</div>
<div class="cp-notice-body">
本页只收<strong>能长期用的文本 / 代码云 API</strong>:OpenAI 兼容、按量计费、适合接到现有 SDK 或 IDE;并对照 <strong>Strix</strong> 等自动化审计该配哪档模型。适用场景是红队、安全评测、减少过度拒答对评测的干扰。
<ul>
<li><strong>不提供</strong>越狱教程、绕过安全策略的操作步骤,也不讨论如何攻击第三方系统。只测你有权测试的目标。</li>
<li><strong>不收录</strong>以成人生成为卖点的图像 / 视频服务;站点即便有文本接口,卖点偏此也不进推荐卡。</li>
<li>「低过滤 / abliterated」<strong>不等于</strong>零审查、不等于可违法使用。服务商仍可能有 ToS、地区限制与日志政策,以官网为准。</li>
<li>Strix 选型:官方推荐是 glm-5.3 / gpt-5.4 / claude-sonnet-4-6 / gemini-3-pro;<strong>DeepSeek Flash 是便宜快扫,不是最强深扫</strong>。</li>
</ul>
</div>
</div>
<div class="cp-legend">
<span><span class="cp-badge badge-rec">首选</span> Venice.ai</span>
<span><span class="cp-badge badge-new">次选</span> NinjaChat</span>
<span><span class="cp-badge badge-warn">单价待核实</span> Unfil / Hypereal</span>
<span><span class="cp-badge badge-skip">不进推荐卡</span> Web / 成人向 / 企业网关</span>
</div>
<div class="cp-section-hd"><span>对照表</span></div>
<div class="cp-matrix-wrap">
<table class="cp-matrix">
<thead>
<tr><th>服务商</th><th>定位</th><th>兼容与计费</th><th>本站口径</th></tr>
</thead>
<tbody>
<tr>
<td class="model-name">Venice.ai</td>
<td>隐私向推理云,目录含低过滤开源权重与旗舰模型</td>
<td>OpenAI 兼容;按 token 扣 credits(约 100 credits = $1)</td>
<td><span class="cp-badge badge-rec">首选</span> 文档完整,文本 API 可长期接代码</td>
</tr>
<tr>
<td class="model-name">NinjaChat</td>
<td>聚合 API;低过滤档为独立模型 ID</td>
<td>OpenAI 兼容;低过滤档按次计费,不是按 token</td>
<td><span class="cp-badge badge-new">次选</span> 适合短测与轻量脚本</td>
</tr>
<tr>
<td class="model-name">Unfil.ai</td>
<td>宣称低过滤文本 LLM API</td>
<td>按 token 报价(厂商页有表)</td>
<td><span class="cp-badge badge-warn">单价待核实</span> 只看文本接口,不推图像</td>
</tr>
<tr>
<td class="model-name">Hypereal Cloud</td>
<td>现更偏通用聚合 API</td>
<td>OpenAI 兼容;低过滤型号是否在架以目录为准</td>
<td><span class="cp-badge badge-warn">单价待核实</span> 不当作低过滤专线</td>
</tr>
</tbody>
</table>
</div>
<p class="src" style="margin:0.45rem 0 0;">Venice 价表:<a href="https://docs.venice.ai/overview/pricing" target="_blank" rel="noopener noreferrer">docs.venice.ai/overview/pricing</a> · NinjaChat:<a href="https://docs.ninjachat.ai/pricing" target="_blank" rel="noopener noreferrer">docs.ninjachat.ai/pricing</a>。价格会变,下单前再对一次官网。</p>
<div class="cp-section-hd"><span>推荐卡 · 文本 / 代码 API</span></div>
<div class="cp-platforms">
<div class="cp-platform featured">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://docs.venice.ai/welcome" target="_blank" rel="noopener noreferrer">Venice.ai</a></span>
<span class="cp-badge badge-rec">首选</span>
<span class="cp-badge badge-overseas">OpenAI 兼容</span>
</div>
<div class="cp-platform-body">
<p style="margin:0 0 0.55rem;">Base URL:<code>https://api.venice.ai/api/v1</code>。目录很大:既有 Claude / GPT 等旗舰(仍走提供商策略),也有低过滤开源权重。写代码时<strong>显式传模型 ID</strong>,不要默认成旗舰聊天模型。</p>
<table class="cp-table">
<thead><tr><th>模型(本页关注)</th><th>ID</th><th>输入 / 输出</th><th>上下文</th></tr></thead>
<tbody>
<tr>
<td class="plan-name">Gemma 4 Uncensored</td>
<td><code>gemma-4-uncensored</code></td>
<td class="plan-price">$0.16 / $0.50</td>
<td class="plan-limit">256K</td>
</tr>
<tr>
<td class="plan-name">Venice Uncensored 1.2</td>
<td><code>venice-uncensored-1-2</code></td>
<td class="plan-price">$0.20 / $0.90</td>
<td class="plan-limit">128K</td>
</tr>
<tr>
<td class="plan-name">Qwen 3.6 Plus Uncensored</td>
<td><code>qwen-3-6-plus</code></td>
<td class="plan-price">$0.63 / $3.75</td>
<td class="plan-limit">1M(>256K 更高)</td>
</tr>
<tr>
<td class="plan-name">Hermes 3 Llama 3.1 405B</td>
<td><code>hermes-3-llama-3.1-405b</code></td>
<td class="plan-price">$1.10 / $3.00</td>
<td class="plan-limit">128K</td>
</tr>
</tbody>
</table>
<p class="src" style="margin:0.55rem 0 0.4rem;">单价 = $/百万 token,2026-09-08 对照官方价表。旧文里的 Hermes 4 70B 现价表未列出,勿再当现行价。</p>
<table class="cp-table">
<thead><tr><th>套餐</th><th>月价</th><th>和 API 的关系</th></tr></thead>
<tbody>
<tr>
<td class="plan-name">Free</td>
<td class="plan-price">$0</td>
<td class="plan-limit">Web 约 10 次文本/天;API 需另购 credits</td>
</tr>
<tr>
<td class="plan-name">Pro</td>
<td class="plan-price">$18</td>
<td class="plan-limit">100 credits/月(约 $1 API)— 不够当主力推理</td>
</tr>
<tr>
<td class="plan-name">Pro+</td>
<td class="plan-price">$68</td>
<td class="plan-limit">7,500 credits/月,可结转 2 个月</td>
</tr>
<tr>
<td class="plan-name">Max</td>
<td class="plan-price">$200</td>
<td class="plan-limit">22,500 credits/月,可结转 3 个月</td>
</tr>
</tbody>
</table>
<p style="font-size:0.78rem;color:var(--muted);margin:0.55rem 0 0;"><strong>套餐内无限对话 ≠ API 无限。</strong>FAQ 写明:Web/App 额度与 API 分开;每次 API 按模型 token 价扣 credits。写代码请按量充 credits,别指望 Pro 那 100 credits 撑 Agent。</p>
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://docs.ninjachat.ai/openai-compatibility" target="_blank" rel="noopener noreferrer">NinjaChat</a></span>
<span class="cp-badge badge-new">次选</span>
<span class="cp-badge badge-overseas">按次计费</span>
</div>
<div class="cp-platform-body">
<p style="margin:0 0 0.55rem;">Base URL:<code>https://www.ninjachat.ai/api/v1</code>。<strong>必须带 www</strong>:apex 域名会剥掉 <code>Authorization</code>,请求会变成未认证。OpenAI SDK 可直接换 base URL;也兼容 <code>/chat/completions</code>。</p>
<table class="cp-table">
<thead><tr><th>项目</th><th>说明</th></tr></thead>
<tbody>
<tr>
<td class="plan-name">低过滤档</td>
<td>模型 ID <code>uncensored-ai</code>,Budget 档 <strong>$0.003 / 次请求</strong></td>
</tr>
<tr>
<td class="plan-name">计费口径</td>
<td>按次,不按 token。长输出往往更划算;海量短请求要另算</td>
</tr>
<tr>
<td class="plan-name">入门余额</td>
<td>预付 Developer Balance;手机验证可解锁约 $0.50 试用(以官网为准)</td>
</tr>
<tr>
<td class="plan-name">密钥</td>
<td>前缀 <code>nj_sk_</code>,在 Developers → Connections 创建</td>
</tr>
</tbody>
</table>
<p style="font-size:0.78rem;color:var(--muted);margin:0.55rem 0 0;">NinjaChat 同一把钥匙也能调 GPT / Claude,那些档仍是主流模型策略。本页只把 <code>uncensored-ai</code> 当低过滤次选;日常旗舰编码请回 <a href="coding-plan.html">编程套餐</a>。</p>
</div>
</div>
</div>
<div class="cp-section-hd"><span>进表但单价待核实</span></div>
<div class="cp-platforms">
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://unfil.ai/" target="_blank" rel="noopener noreferrer">Unfil.ai</a></span>
<span class="cp-badge badge-warn">单价待核实</span>
</div>
<div class="cp-platform-body">
<p style="margin:0 0 0.55rem;">厂商页列出若干文本 LLM 及 $/M token。本站<strong>未独立对账</strong>,下单前以控制台为准。下表仅作「他们公开写过什么」的备忘;不推荐其图像能力。</p>
<table class="cp-table">
<thead><tr><th>厂商页型号</th><th>厂商页报价</th></tr></thead>
<tbody>
<tr><td class="plan-name">Hermes 3 Llama 3.1 405B</td><td class="plan-limit">$1.2 / $1.2 · 128K</td></tr>
<tr><td class="plan-name">Llama-3.3-70B Instruct abliterated</td><td class="plan-limit">$1.1 / $1.2 · 16.4K</td></tr>
<tr><td class="plan-name">DeepSeek-R1 Distill Qwen 32B abliterated</td><td class="plan-limit">$0.9 / $1.1 · 16.4K</td></tr>
</tbody>
</table>
</div>
</div>
<div class="cp-platform">
<div class="cp-platform-head">
<span class="cp-platform-name"><a href="https://hypereal.cloud" target="_blank" rel="noopener noreferrer">Hypereal Cloud</a></span>
<span class="cp-badge badge-warn">单价待核实</span>
</div>
<div class="cp-platform-body">
<p style="margin:0;">OpenAI 兼容入口常见为 <code>https://api.hypereal.cloud/v1</code>。2026-09 站点主推的是 GPT / Claude / 视频等通用聚合,<strong>不能默认当成低过滤专线</strong>。若目录里仍有 abliterated 开源权重,以当时模型列表为准,本页不写死单价。</p>
</div>
</div>
</div>
<div class="cp-section-hd"><span>不适合个人代码 · 不进推荐卡</span></div>
<div class="cp-matrix-wrap">
<table class="cp-matrix">
<thead>
<tr><th>名称</th><th>为什么不进表</th></tr>
</thead>
<tbody>
<tr>
<td class="model-name">Uncensored.chat</td>
<td>偏 Web 对话产品,不是稳定、可长期对接的 OpenAI 兼容代码 API。</td>
</tr>
<tr>
<td class="model-name">Api18.dev</td>
<td>图像 / 视频成人向。本页不收录以成人生成为卖点的服务。</td>
</tr>
<tr>
<td class="model-name">Abliteration.ai</td>
<td>企业红队 / 策略网关(托管 abliterated 旗舰 + 可选策略层),不是个人写脚本的按量首选。安全团队可自行评估官网,本站不当推荐卡。</td>
</tr>
</tbody>
</table>
</div>
<div class="cp-section-hd"><span>接到现有工具</span></div>
<div class="cp-scenario">
<div class="cp-scenario-head">OpenAI SDK · 只换入口</div>
<div class="cp-scenario-body">
<p style="margin:0 0 0.4rem;">下面只示范<strong>兼容方式</strong>:换 base URL、密钥和模型 ID。不包含绕过安全策略的提示词。</p>
<code class="cp-code">from openai import OpenAI
import os
client = OpenAI(
api_key=os.environ["VENICE_API_KEY"],
base_url="https://api.venice.ai/api/v1",
)
r = client.chat.completions.create(
model="gemma-4-uncensored",
messages=[{"role": "user", "content": "Summarize this security report."}],
)</code>
<p style="margin:0.55rem 0 0;font-size:0.82rem;color:var(--muted);">Cursor / Cline 等:选 OpenAI 兼容提供商,Base URL 填上列地址,模型填文档里的 ID。NinjaChat 把 base URL 换成 <code>https://www.ninjachat.ai/api/v1</code>、模型换成 <code>uncensored-ai</code> 即可。</p>
</div>
</div>
<div class="cp-section-hd" id="strix"><span>Strix 自动化审计 · 模型怎么选</span></div>
<p style="font-size:0.85rem;line-height:1.7;margin:0 0 0.85rem;color:var(--muted);">
<a href="https://github.com/usestrix/strix" target="_blank" rel="noopener noreferrer">Strix</a>(Apache 2.0)是开源 AI 渗透 Agent:多 Agent 侦察 / 利用 / 验证,要求漏洞带可复现 PoC。底层走 LiteLLM,<code>STRIX_LLM</code> 用 <code>provider/model</code> 格式。
<strong>官方推荐档</strong>:<code>glm-5.3</code> / <code>gpt-5.4</code> / <code>claude-sonnet-4-6</code> / <code>gemini-3-pro</code>(见 <a href="https://docs.strix.ai/llm-providers/overview" target="_blank" rel="noopener noreferrer">LLM Providers</a>)。
下表按<strong>用途分档</strong>——<strong>DeepSeek Flash 只做便宜快扫,不是最强深扫</strong>。
</p>
<div class="cp-matrix-wrap">
<table class="cp-matrix">
<thead>
<tr><th>用途</th><th>Strix 里写(<code>STRIX_LLM</code>)</th><th>渠道</th><th>定位</th></tr>
</thead>
<tbody>
<tr>
<td class="model-name">日常快扫</td>
<td><code>deepseek/deepseek-flash</code></td>
<td>DeepSeek 官网</td>
<td>对应 <strong>V4.1-Flash</strong>;便宜、快。复杂攻击链弱。<strong>别当深扫主力。</strong></td>
</tr>
<tr>
<td class="model-name">深扫 / DeepSeek 家</td>
<td><code>deepseek/deepseek-v4-pro</code></td>
<td>DeepSeek 官网</td>
<td>Strix 配置表仍列此 ID。注意:官方自 2026-09-14 起,该 ID <strong>暂时转发到 V4.1-Flash</strong> 直至 V4.1-Pro 上线——深扫更稳默认仍用下面的 <code>glm-5.3</code>。</td>
</tr>
<tr>
<td class="model-name">性价比主力(默认)</td>
<td><code>openrouter/z-ai/glm-5.3</code></td>
<td>OpenRouter</td>
<td><span class="cp-badge badge-rec">Strix 默认</span> 综合好;文档 Quick Start 即此 ID。</td>
</tr>
<tr>
<td class="model-name">更省 GLM</td>
<td><code>openrouter/z-ai/glm-5.3-flash</code></td>
<td>OpenRouter</td>
<td>浅扫 / 控成本;别指望顶替 5.3 全量深扫。</td>
</tr>
<tr>
<td class="model-name">最强报告</td>
<td><code>openai/gpt-5.4</code> · <code>anthropic/claude-sonnet-4-6</code></td>
<td>官方 API</td>
<td>贵但稳;关键评估、要报告质量时用。Sonnet 限额紧时成本会飙(第三方横评有单次数十美元案例)。</td>
</tr>
<tr>
<td class="model-name">官方推荐 · Gemini</td>
<td><code>vertex_ai/gemini-3-pro-preview</code></td>
<td>Google Vertex</td>
<td>与上列同属官方推荐大模型档。Vertex 文档写安全测试综合表现好;另有 Flash 预览偏快偏省。需 GCP / ADC,不是 DeepSeek 式「便宜快扫」替代品。</td>
</tr>
</tbody>
</table>
</div>
<p class="src" style="margin:0.45rem 0 0.8rem;">
配置示例:<code>export STRIX_LLM="openrouter/z-ai/glm-5.3"</code> + <code>LLM_API_KEY</code>。
事实口径:Strix 文档(2026-09)· 用途分档以本站对照表为准。第三方文章里的「GLM 5.1 / DeepSeek v3.2」勿与上表 Flash、V4-Pro、GLM-5.3 混读。
</p>
<code class="cp-code"># 性价比默认(官方 Quick Start)
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="…"
# 日常快扫(便宜)— 不是深扫最强
# export STRIX_LLM="deepseek/deepseek-flash"
# 深扫 / DeepSeek 家强模型
# export STRIX_LLM="deepseek/deepseek-v4-pro"
strix --target ./app-directory</code>
<div class="cp-section-hd"><span>场景怎么选</span></div>
<div class="cp-scenario">
<div class="cp-scenario-head">红队 / 安全评测(样本不被过度拒答污染)</div>
<div class="cp-scenario-body">
<div class="recommend">Venice 低过滤开源 ID,或 NinjaChat <code>uncensored-ai</code></div>
<div class="reason">评测拒答率、有害内容分类、策略覆盖时,过度拒答会污染样本。用低过滤开源权重做对照,不等于取消你自己的安全层——对外服务仍应自建过滤。这和下面 Strix「要长程 Agent 智商」不是同一档选型。</div>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">Strix · CI / PR 快扫</div>
<div class="cp-scenario-body">
<div class="recommend"><code>deepseek/deepseek-flash</code> 或 <code>openrouter/z-ai/glm-5.3-flash</code>;默认稳妥用 <code>glm-5.3</code></div>
<div class="reason">要短、要省。Flash 复杂链弱,适合 diff / quick 门禁。第三方案例口径:Quick 约数分钟到十几分钟、费用常见个位数美元量级——以你自己账单为准,本站不写死刊例。</div>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">Strix · 全面深扫 / 要可交付报告</div>
<div class="cp-scenario-body">
<div class="recommend">先 <code>openrouter/z-ai/glm-5.3</code>;DeepSeek 生态注意 <code>deepseek-v4-pro</code> 过渡期可能仍落到 Flash——要报告质量用 <code>gpt-5.4</code> / <code>claude-sonnet-4-6</code>(或 Vertex <code>gemini-3-pro-preview</code>)</div>
<div class="reason"><strong>不要用 Flash 顶深扫。</strong>文章与独立横评都指向:弱模型会漏报或早停;编排层很重要,但模型智商仍是拉开差距的关键。贵模型单次可能很高(如 Sonnet 经中转限额后的极端账单),先小目标试跑。</div>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">减少过度拒答的日常文本 / 代码</div>
<div class="cp-scenario-body">
<div class="recommend">Venice <code>gemma-4-uncensored</code> 或 <code>venice-uncensored-1-2</code></div>
<div class="reason">单价低、按 token 可预期。长上下文或更强推理再看 <code>qwen-3-6-plus</code> / Hermes 3 405B。官方 Claude、GPT 即便从 Venice 走,也不是本页意义上的低过滤档。</div>
</div>
</div>
<div class="cp-scenario">
<div class="cp-scenario-head">本机已有 GPU / 数据不能出域</div>
<div class="cp-scenario-body">
<div class="recommend">优先看 <a href="local-model-plan.html">本地模型横评</a>;Strix 可接 Ollama / 兼容本地入口</div>
<div class="reason">云 API 省运维;隐私优先再自托管。Strix 官方也写:关键评估仍建议云端强模型,小参数本机 Agent 往往跟不动多步工具循环。</div>
</div>
</div>
<div class="cp-faq">
<div class="cp-faq-head">常见问题</div>
<div class="cp-faq-item is-open">
<div class="cp-faq-q">和 OpenRouter、Together 有什么区别?<span class="cp-faq-arrow">▼</span></div>
<div class="cp-faq-a">主流推理云也会上架部分 abliterated 开源权重,但产品定位是<strong>全模型路由</strong>,不是本页这种对照。日常多模型、旗舰编码请走百科「AI 模型 API」和 <a href="model-plan.html">模型选型</a>。Strix 默认的 <code>openrouter/z-ai/glm-5.3</code> 走的是 OpenRouter 上的智谱线,属于「Agent 智商」选型,不是「低过滤权重」选型。</div>
</div>
<div class="cp-faq-item">
<div class="cp-faq-q">DeepSeek Flash 能不能当 Strix 深扫主力?<span class="cp-faq-arrow">▼</span></div>
<div class="cp-faq-a"><strong>不能。</strong>Flash(现为 V4.1-Flash,API <code>deepseek-flash</code>)只适合便宜快扫。深扫默认用 <code>glm-5.3</code>;DeepSeek 的 <code>deepseek-v4-pro</code> 在 V4.1-Pro 上线前可能仍转发 Flash。报告质量优先再上 GPT-5.4 / Claude Sonnet 4.6 / Gemini 3 Pro。</div>
</div>
<div class="cp-faq-item">
<div class="cp-faq-q">Pro 套餐无限聊,API 是不是也无限?<span class="cp-faq-arrow">▼</span></div>
<div class="cp-faq-a"><strong>不是。</strong>Venice 官方 FAQ:Web/App 的无限文本与每日图像上限,不含 API。API 按 token 扣 credits。Pro 每月 100 credits 大约只够试接口;认真跑评测或 Agent 请按量充值,或改用 Pro+ / Max 的月度 credits。</div>
</div>
<div class="cp-faq-item">
<div class="cp-faq-q">按次 $0.003 一定比按 token 便宜吗?<span class="cp-faq-arrow">▼</span></div>
<div class="cp-faq-a">NinjaChat 的 <code>uncensored-ai</code> 是<strong>每次请求固定价</strong>。一次生成很长代码往往更划算;若你打成千上万次超短请求,按 token 的小模型可能更便宜。先用小额余额跑自己的真实流量再决定。</div>
</div>
<div class="cp-faq-item">
<div class="cp-faq-q">低过滤是不是「零审查」?<span class="cp-faq-arrow">▼</span></div>
<div class="cp-faq-a"><strong>不是。</strong>Abliterated 权重通常只是削弱了训练里的拒答方向,服务商仍有条款、支付风控和地区政策。Strix 等自动化审计只测你有权测的目标。本站不用「零审查」当标题,也不保证任何请求都会被执行。违法用途不要做。</div>
</div>
</div>
<div class="cp-summary">
<h2>一句话怎么选</h2>
<div class="cp-summary-grid">
<div class="cp-summary-item"><span class="cp-badge badge-rec">首选 API</span> <span class="arrow">→</span> Venice 低过滤开源 ID + 按量 credits</div>
<div class="cp-summary-item"><span class="cp-badge badge-new">次选 API</span> <span class="arrow">→</span> NinjaChat <code>uncensored-ai</code>(注意 www)</div>
<div class="cp-summary-item"><span class="cp-badge badge-rec">Strix 默认</span> <span class="arrow">→</span> <code>openrouter/z-ai/glm-5.3</code></div>
<div class="cp-summary-item"><span class="cp-badge badge-warn">Strix 快扫</span> <span class="arrow">→</span> Flash(非深扫最强)</div>
<div class="cp-summary-item"><span class="cp-badge badge-overseas">Strix 报告</span> <span class="arrow">→</span> GPT-5.4 / Sonnet 4.6 / Gemini 3 Pro</div>
<div class="cp-summary-item"><span class="cp-badge badge-warn">观望</span> <span class="arrow">→</span> Unfil / Hypereal,单价未独立核实</div>
<div class="cp-summary-item"><span class="cp-badge badge-skip">跳过</span> <span class="arrow">→</span> Web 站、成人生成、企业红队网关</div>
</div>
</div>
</div>
<div class="cp-footer">
<p>价格与模型 ID 以各官网为准 · Venice <a href="https://docs.venice.ai/overview/pricing" target="_blank" rel="noopener noreferrer">pricing</a> · NinjaChat <a href="https://docs.ninjachat.ai/pricing" target="_blank" rel="noopener noreferrer">pricing</a> · Strix <a href="https://docs.strix.ai/llm-providers/overview" target="_blank" rel="noopener noreferrer">LLM providers</a></p>
<p>本页不提供越狱教程,不收录以成人生成为卖点的服务。合法合规使用。</p>
<p><a href="index.html">← 返回 AINav 首页</a> · <a href="model-plan.html">模型选型</a> · <a href="local-model-plan.html">本地模型</a> · <a href="coding-plan.html">编程套餐</a> · <a href="agent-plan.html">Agent 横评</a> · <a href="free-tier.html">免费额度</a></p>
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btns.forEach(function(b){b.addEventListener('click',function(){apply(b.getAttribute('data-theme-set'))})});
})();
</script>
<script>
document.querySelectorAll('.cp-faq-q').forEach(function(q){
q.addEventListener('click', function(){ q.parentElement.classList.toggle('is-open'); });
});
</script>
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