1const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["./Cm0kW0g_.js","./SkzkLQdy.js","./DjlBeC9D.js","./entry.CNEp18Fl.css","./DKapxK29.js","./Vcq4gwWv.js","./03DqCTCV.js","./index.B_obn6Xi.css","./BPdRUrA1.js","./CovBOfck.js","./B_PPmVd2.js","./index.Du_QcCBH.css","./el-tooltip.tn0RQdqM.css","./el-popper.DJ3OI_Cw.css","./el-popover.Cktl5fHm.css","./Dppwx0pb.js","./Czb4NBCe.js"])))=>i.map(i=>d[i]); 2import{S as G,a as z,u as p,as as s,at as i,r as M,Z as N,au as a,w as V,U as $,c as m,o as g,b as k,l as E,e as v,V as A,d as w,F as C,W as f}from"./DjlBeC9D.js";import{g as F}from"./D05qd707.js";function b(t){const e=t;e.__i18n=e.__i18n||[],e.__i18n.push({locale:"",resource:{en:{operation:{description:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 delivers stronger reasoning, faster code generation, more reliable AI agent workflows, and improved multimodal understanding, with long-context support up to 1M tokens."}},model_type_list:[{credit_description:{t:0,b:{t:2,i:[{t:3,v:"Input "},{t:4,k:"input_credits"},{t:3,v:" credits / 1M tokens (â $"},{t:4,k:"input_cost"},{t:3,v:"), Output "},{t:4,k:"output_credits"},{t:3,v:" credits / 1M tokens (â $"},{t:4,k:"output_cost"},{t:3,v:")"}]}}}]},tdk:{title:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 API â Advanced Reasoning & AI Agents"}},description:{t:0,b:{t:2,i:[{t:3}],s:"Access GPT-5.5 API for advanced reasoning, fast code generation, AI agent automation, multimodal understanding, and long-context processing up to 1M tokens."}},structName:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 AI Model"}}}},zh:{operation:{description:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 æä¾æ´å¼ºçæ¨çè½åãæ´å¿«ç代ç çæãæ´ç¨³å®ç AI Agent 工使µï¼ä»¥åæ´ä¼ç§ç夿¨¡æçè§£è½åï¼å¹¶æ¯ææé« 1M tokens çé¿ä¸ä¸æå¤çã"}},model_type_list:[{credit_description:{t:0,b:{t:2,i:[{t:3,v:"è¾å ¥ "},{t:4,k:"input_credits"},{t:3,v:" 积å / 100ä¸ tokensï¼çº¦ $"},{t:4,k:"input_cost"},{t:3,v:"ï¼ï¼è¾åº "},{t:4,k:"output_credits"},{t:3,v:" 积å / 100ä¸ tokensï¼çº¦ $"},{t:4,k:"output_cost"},{t:3,v:"ï¼"}]}}}]},tdk:{title:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 API â é«çº§æ¨çä¸ AI Agent"}},description:{t:0,b:{t:2,i:[{t:3}],s:"æ¥å ¥ GPT-5.5 APIï¼ä½éªé«çº§æ¨çãå¿«é代ç çæãAI Agent èªå¨åã夿¨¡æçè§£ï¼ä»¥åæé« 1M tokens çé¿ä¸ä¸æå¤çè½åã"}},structName:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 AI模å"}}}},es:{operation:{description:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 ofrece un razonamiento más potente, generación de código más rápida, flujos de trabajo de agentes de IA más fiables y una mejor comprensión multimodal, con soporte de contexto largo de hasta 1 millón de tokens."}},model_type_list:[{credit_description:{t:0,b:{t:2,i:[{t:3,v:"Entrada: "},{t:4,k:"input_credits"},{t:3,v:" créditos / 1M tokens (â $"},{t:4,k:"input_cost"},{t:3,v:"), salida: "},{t:4,k:"output_credits"},{t:3,v:" créditos / 1M tokens (â $"},{t:4,k:"output_cost"},{t:3,v:")"}]}}}]},tdk:{title:{t:0,b:{t:2,i:[{t:3}],s:"API de GPT-5.5 â Razonamiento Avanzado y Agentes de IA"}},description:{t:0,b:{t:2,i:[{t:3}],s:"Accede a la API de GPT-5.5 para obtener razonamiento avanzado, generación rápida de código, automatización de agentes de IA, comprensión multimodal y procesamiento de contexto largo de hasta 1 millón de tokens."}},structName:{t:0,b:{t:2,i:[{t:3}],s:"Modelo de IA GPT-5.5"}}}},de:{operation:{description:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 bietet stärkere Schlussfolgerungsfähigkeiten, schnellere Codeerstellung, zuverlässigere Workflows mit KI-Agenten und verbessertes multimodales Verständnis mit Langzeitkontext-Unterstützung bis zu 1 Million Token."}},model_type_list:[{credit_description:{t:0,b:{t:2,i:[{t:3,v:"Eingabe "},{t:4,k:"input_credits"},{t:3,v:" Credits / 1 Mio. Tokens (â $"},{t:4,k:"input_cost"},{t:3,v:"), Ausgabe "},{t:4,k:"output_credits"},{t:3,v:" Credits / 1 Mio. Tokens (â $"},{t:4,k:"output_cost"},{t:3,v:")"}]}}}]},tdk:{title:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 API â Fortgeschrittenes Denken & KI-Agenten"}},description:{t:0,b:{t:2,i:[{t:3}],s:"Zugriff auf die GPT-5.5 API für fortgeschrittenes Denken, schnelle Code-Erstellung, Automatisierung von KI-Agenten, multimodales Verständnis und Verarbeitung langer Kontexte bis zu 1 Million Token."}},structName:{t:0,b:{t:2,i:[{t:3}],s:"GPT-5.5 KI-Modell"}}}}}})}const q=A(()=>f(()=>import("./Cm0kW0g_.js").then(t=>t.i),__vite__mapDeps([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]),import.meta.url).then(t=>t.default||t)),D=A(()=>f(()=>import("./Dppwx0pb.js"),__vite__mapDeps([15,2,3,16,12,13]),import.meta.url).then(t=>t.default||t)),K={key:0,class:"container mx-auto max-w-7xl","data-anchor":"readme","data-offset":"80"},O={class:"mx-6 max-sm:mx-4 mt-10"},R={__name:"gpt-5-5",setup(t){const e=G(),y=z(),{t:c,locales:P,locale:h}=p({useScope:"global"}),{t:n}=p({useScope:"local"}),o=s("ai_chat_current_model",()=>({}));s("result_query").value={provider:"OpenAI",ai_chat:{provider:"OpenAI",provider_model:i.gpt_5_5,max_tokens:105e4,max_completion_tokens:128e3}},s("fn_component").value="gpt";const r=s("page_anchor");r.value=["playground","api","readme","examples"].includes(e?.query?.action)?e?.query?.action:"playground";const I=s("current_model"),d=(()=>
2{if(!e?.query?.model)return i.gpt_5_5;const u=[i.gpt_5_5],_=e?.query?.model;return u.includes(_)?e?.query?.model:i.gpt_5_5})();I.value=d;const l=M({title:"GPT 5.5",description:n("operation.description"),model_type:d,icon:"/icons/openai.svg",model_type_list:[{value:i.gpt_5_5,label:"GPT 5.5",credit_description:n("operation.model_type_list[0].credit_description",{input_credits:(o.value.input_credits_per_1k||.25)*1e6/1e3,input_cost:((o.value.input_credits_per_1k||.25)*a*1e6/1e3).toFixed(2),output_credits:(o.value.output_credits_per_1k||1.5)*1e6/1e3,output_cost:((o.value.output_credits_per_1k||1.5)*a*1e6/1e3).toFixed(2)})}],tab:r.value,tab_list:[{label:c("tab_list[0].label"),icon:"i-solar:play-line-duotone",value:"playground"},{label:c("tab_list[3].label"),icon:"i-solar:code-bold",value:"api",link:{[i.gpt_5_5]:N("https://docs.crun.ai/models/llm/chat-completions")}}]});return V(()=>o.value,()=>{l.model_type_list[0].credit_description=n("operation.model_type_list[0].credit_description",{input_credits:(o.value.input_credits_per_1k||.25)*1e6/1e3,input_cost:((o.value.input_credits_per_1k||.25)*a*1e6/1e3).toFixed(2),output_credits:(o.value.output_credits_per_1k||1.5)*1e6/1e3,output_cost:((o.value.output_credits_per_1k||1.5)*a*1e6/1e3).toFixed(2)})}),$(F({tdk:{title:n("tdk.title"),description:n("tdk.description"),structName:n("tdk.structName")},locales:P.value,locale:h.value,path:y(e.path,"en")})),(u,_)=>{const T=q,x=D;return g(),m(C,null,[k(T,{config:v(l)},null,8,["config"]),["api"].includes(v(r))?E("",!0):(g(),m("div",K,[w("div",O,[k(x)])]))],64)}}};typeof b=="function"&&b(R);export{R as default};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.