diff --git a/README.md b/README.md
index f25d9ee208..e550132968 100644
--- a/README.md
+++ b/README.md
@@ -112,6 +112,7 @@ CyberStrike integrates with the entire AI ecosystem through 23 bundled SDK provi
 | **Cerebras**              | LLaMA on Cerebras        | Fastest inference available             |
 | **Cohere**                | Command R+               | RAG-optimized models                    |
 | **OpenRouter**            | 300+ models              | Single API, any model                   |
+| **LLMTR**                 | 180+ models              | Türkiye-hosted models, local pricing    |
 | **Together AI**           | Open-source models       | Fine-tuning support                     |
 | **DeepInfra**             | Open-source models       | Pay-per-token, no GPU needed            |
 | **Perplexity**            | Sonar models             | Search-augmented generation             |
@@ -150,7 +151,7 @@ Most AI security tools are thin wrappers that send your prompt to an API. CyberS
 
 **150+ Providers, Zero Lock-in**
 
-Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, xAI, DeepSeek, Cerebras, Cohere, OpenRouter, Together AI, GitHub Copilot — or run fully offline with Ollama and LM Studio. 150+ providers, 5,300+ models. You choose the model. You own the results. As AI models get better and cheaper, CyberStrike gets better with them. Switch providers in seconds without reconfiguring anything.
+Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, xAI, DeepSeek, Cerebras, Cohere, OpenRouter, LLMTR, Together AI, GitHub Copilot — or run fully offline with Ollama and LM Studio. 150+ providers, 5,300+ models. You choose the model. You own the results. As AI models get better and cheaper, CyberStrike gets better with them. Switch providers in seconds without reconfiguring anything.
 
 </td>
 <td width="50%">
diff --git a/README.tr.md b/README.tr.md
index 3295c10580..426789a19b 100644
--- a/README.tr.md
+++ b/README.tr.md
@@ -100,7 +100,7 @@ Diger yapay zeka araclari siradaki ne yapacaginizi soylemenizi bekler. CyberStri
 
 **Herhangi Bir LLM, Bagimlilik Yok**
 
-Kutudan ciktigi gibi 15+ saglayici: Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, OpenRouter — hatta OpenAI uyumlu uc noktalar araciligiyla yerel modeller bile. Claude, GPT, Gemini veya kendi barindiginiz LLM ile calistirin. Modeller iyilestikce ve ucuzladikca, CyberStrike de onlarla birlikte gelisir.
+Kutudan ciktigi gibi 15+ saglayici: Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, OpenRouter, LLMTR (Turkiye'de barindirilan modeller) — hatta OpenAI uyumlu uc noktalar araciligiyla yerel modeller bile. Claude, GPT, Gemini veya kendi barindiginiz LLM ile calistirin. Modeller iyilestikce ve ucuzladikca, CyberStrike de onlarla birlikte gelisir.
 
 </td>
 <td width="50%">
diff --git a/packages/app/src/components/settings-providers.tsx b/packages/app/src/components/settings-providers.tsx
index 43de1dbb06..3214b85a48 100644
--- a/packages/app/src/components/settings-providers.tsx
+++ b/packages/app/src/components/settings-providers.tsx
@@ -23,6 +23,7 @@ const PROVIDER_NOTES = [
   { match: (id: string) => id === "openai", key: "dialog.provider.openai.note" },
   { match: (id: string) => id === "google", key: "dialog.provider.google.note" },
   { match: (id: string) => id === "openrouter", key: "dialog.provider.openrouter.note" },
+  { match: (id: string) => id === "llmtr", key: "dialog.provider.llmtr.note" },
   { match: (id: string) => id === "vercel", key: "dialog.provider.vercel.note" },
 ] as const
 
diff --git a/packages/app/src/hooks/use-providers.ts b/packages/app/src/hooks/use-providers.ts
index 8bc861466d..cf38906991 100644
--- a/packages/app/src/hooks/use-providers.ts
+++ b/packages/app/src/hooks/use-providers.ts
@@ -10,6 +10,7 @@ export const popularProviders = [
   "openai",
   "google",
   "openrouter",
+  "llmtr",
   "vercel",
 ]
 const popularProviderSet = new Set(popularProviders)
diff --git a/packages/app/src/i18n/ar.ts b/packages/app/src/i18n/ar.ts
index 349eac702e..f74e126d35 100644
--- a/packages/app/src/i18n/ar.ts
+++ b/packages/app/src/i18n/ar.ts
@@ -94,6 +94,7 @@ export const dict = {
   "dialog.provider.openai.note": "اتصل باستخدام ChatGPT Pro/Plus أو مفتاح API",
   "dialog.provider.google.note": "نماذج Gemini لاستجابات سريعة ومنظمة",
   "dialog.provider.openrouter.note": "الوصول إلى جميع النماذج المدعومة من موفر واحد",
+  "dialog.provider.llmtr.note": "نماذج مستضافة في تركيا وأسعار مخفّضة على النماذج العالمية",
   "dialog.provider.vercel.note": "وصول موحد إلى نماذج الذكاء الاصطناعي مع توجيه ذكي",
   "dialog.model.select.title": "تحديد نموذج",
   "dialog.model.search.placeholder": "البحث عن نماذج",
diff --git a/packages/app/src/i18n/br.ts b/packages/app/src/i18n/br.ts
index 998aa35f2f..391c0137bf 100644
--- a/packages/app/src/i18n/br.ts
+++ b/packages/app/src/i18n/br.ts
@@ -94,6 +94,7 @@ export const dict = {
   "dialog.provider.openai.note": "Conectar com ChatGPT Pro/Plus ou chave de API",
   "dialog.provider.google.note": "Modelos Gemini para respostas rápidas e estruturadas",
   "dialog.provider.openrouter.note": "Acesse todos os modelos suportados de um único provedor",
+  "dialog.provider.llmtr.note": "Modelos hospedados na Türkiye e preços com desconto nos globais",
   "dialog.provider.vercel.note": "Acesso unificado a modelos de IA com roteamento inteligente",
   "dialog.model.select.title": "Selecionar modelo",
   "dialog.model.search.placeholder": "Buscar modelos",
diff --git a/packages/app/src/i18n/bs.ts b/packages/app/src/i18n/bs.ts
index 3002d5ac4e..81534b4932 100644
--- a/packages/app/src/i18n/bs.ts
+++ b/packages/app/src/i18n/bs.ts
@@ -102,6 +102,7 @@ export const dict = {
   "dialog.provider.openai.note": "GPT modeli za brze, sposobne opšte AI zadatke",
   "dialog.provider.google.note": "Gemini modeli za brze, strukturirane odgovore",
   "dialog.provider.openrouter.note": "Pristup svim podržanim modelima preko jednog provajdera",
+  "dialog.provider.llmtr.note": "Modeli hostovani u Turskoj i snižene cijene globalnih modela",
   "dialog.provider.vercel.note": "Jedinstven pristup AI modelima uz pametno rutiranje",
 
   "dialog.model.select.title": "Odaberi model",
diff --git a/packages/app/src/i18n/da.ts b/packages/app/src/i18n/da.ts
index e9a7eed223..7c23cc21ed 100644
--- a/packages/app/src/i18n/da.ts
+++ b/packages/app/src/i18n/da.ts
@@ -102,6 +102,7 @@ export const dict = {
   "dialog.provider.openai.note": "GPT-modeller til hurtige, kompetente generelle AI-opgaver",
   "dialog.provider.google.note": "Gemini-modeller til hurtige, strukturerede svar",
   "dialog.provider.openrouter.note": "Få adgang til alle understøttede modeller fra én udbyder",
+  "dialog.provider.llmtr.note": "Modeller hostet i Tyrkiet og rabatterede priser på globale modeller",
   "dialog.provider.vercel.note": "Samlet adgang til AI-modeller med smart routing",
 
   "dialog.model.select.title": "Vælg model",
diff --git a/packages/app/src/i18n/de.ts b/packages/app/src/i18n/de.ts
index 0ac48cd619..6db4e6c8e4 100644
--- a/packages/app/src/i18n/de.ts
+++ b/packages/app/src/i18n/de.ts
@@ -98,6 +98,7 @@ export const dict = {
   "dialog.provider.openai.note": "Mit ChatGPT Pro/Plus oder API-Schlüssel verbinden",
   "dialog.provider.google.note": "Gemini-Modelle für schnelle, strukturierte Antworten",
   "dialog.provider.openrouter.note": "Zugriff auf alle unterstützten Modelle über einen Anbieter",
+  "dialog.provider.llmtr.note": "In der Türkei gehostete Modelle und vergünstigte Preise für globale Modelle",
   "dialog.provider.vercel.note": "Einheitlicher Zugriff auf KI-Modelle mit intelligentem Routing",
   "dialog.model.select.title": "Modell auswählen",
   "dialog.model.search.placeholder": "Modelle durchsuchen",
diff --git a/packages/app/src/i18n/en.ts b/packages/app/src/i18n/en.ts
index 15f6c9b380..185bd936fa 100644
--- a/packages/app/src/i18n/en.ts
+++ b/packages/app/src/i18n/en.ts
@@ -118,6 +118,7 @@ export const dict = {
   "dialog.provider.openai.note": "GPT models for fast, capable general AI tasks",
   "dialog.provider.google.note": "Gemini models for fast, structured responses",
   "dialog.provider.openrouter.note": "Access all supported models from one provider",
+  "dialog.provider.llmtr.note": "Türkiye-hosted models and discounted pricing on global ones",
   "dialog.provider.vercel.note": "Unified access to AI models with smart routing",
 
   "dialog.model.select.title": "Select model",
diff --git a/packages/app/src/i18n/es.ts b/packages/app/src/i18n/es.ts
index 816a8bc8b3..0ac51ffe7b 100644
--- a/packages/app/src/i18n/es.ts
+++ b/packages/app/src/i18n/es.ts
@@ -102,6 +102,7 @@ export const dict = {
   "dialog.provider.openai.note": "Modelos GPT para tareas de IA generales rápidas y capaces",
   "dialog.provider.google.note": "Modelos Gemini para respuestas rápidas y estructuradas",
   "dialog.provider.openrouter.note": "Accede a todos los modelos soportados desde un solo proveedor",
+  "dialog.provider.llmtr.note": "Modelos alojados en Türkiye y precios con descuento en los globales",
   "dialog.provider.vercel.note": "Acceso unificado a modelos de IA con enrutamiento inteligente",
 
   "dialog.model.select.title": "Seleccionar modelo",
diff --git a/packages/app/src/i18n/fr.ts b/packages/app/src/i18n/fr.ts
index 5afde92844..9af6e208ed 100644
--- a/packages/app/src/i18n/fr.ts
+++ b/packages/app/src/i18n/fr.ts
@@ -94,6 +94,7 @@ export const dict = {
   "dialog.provider.openai.note": "Connectez-vous avec ChatGPT Pro/Plus ou une clé API",
   "dialog.provider.google.note": "Modèles Gemini pour des réponses rapides et structurées",
   "dialog.provider.openrouter.note": "Accédez à tous les modèles pris en charge depuis un seul fournisseur",
+  "dialog.provider.llmtr.note": "Modèles hébergés en Türkiye et tarifs réduits sur les modèles mondiaux",
   "dialog.provider.vercel.note": "Accès unifié aux modèles d'IA avec routage intelligent",
   "dialog.model.select.title": "Sélectionner un modèle",
   "dialog.model.search.placeholder": "Rechercher des modèles",
diff --git a/packages/app/src/i18n/ja.ts b/packages/app/src/i18n/ja.ts
index 71b547e994..55375c3f18 100644
--- a/packages/app/src/i18n/ja.ts
+++ b/packages/app/src/i18n/ja.ts
@@ -94,6 +94,7 @@ export const dict = {
   "dialog.provider.openai.note": "ChatGPT Pro/PlusまたはAPIキーで接続",
   "dialog.provider.google.note": "高速で構造化された応答のためのGeminiモデル",
   "dialog.provider.openrouter.note": "1つのプロバイダーからすべてのサポートされているモデルにアクセス",
+  "dialog.provider.llmtr.note": "トルコでホストされるモデルと、グローバルモデルの割引価格",
   "dialog.provider.vercel.note": "スマートルーターによるAIモデルへの統合アクセス",
   "dialog.model.select.title": "モデルを選択",
   "dialog.model.search.placeholder": "モデルを検索",
diff --git a/packages/app/src/i18n/ko.ts b/packages/app/src/i18n/ko.ts
index 5ba8cc918d..7785e0a723 100644
--- a/packages/app/src/i18n/ko.ts
+++ b/packages/app/src/i18n/ko.ts
@@ -98,6 +98,7 @@ export const dict = {
   "dialog.provider.openai.note": "ChatGPT Pro/Plus 또는 API 키로 연결",
   "dialog.provider.google.note": "빠르고 구조화된 응답을 위한 Gemini 모델",
   "dialog.provider.openrouter.note": "모든 지원 모델을 단일 공급자에서 액세스",
+  "dialog.provider.llmtr.note": "튀르키예에서 호스팅되는 모델과 글로벌 모델 할인 가격",
   "dialog.provider.vercel.note": "스마트 라우팅을 통한 AI 모델 통합 액세스",
   "dialog.model.select.title": "모델 선택",
   "dialog.model.search.placeholder": "모델 검색",
diff --git a/packages/app/src/i18n/no.ts b/packages/app/src/i18n/no.ts
index 93dd5b8757..504ad76726 100644
--- a/packages/app/src/i18n/no.ts
+++ b/packages/app/src/i18n/no.ts
@@ -105,6 +105,7 @@ export const dict = {
   "dialog.provider.openai.note": "GPT-modeller for raske, dyktige generelle AI-oppgaver",
   "dialog.provider.google.note": "Gemini-modeller for raske, strukturerte svar",
   "dialog.provider.openrouter.note": "Tilgang til alle støttede modeller fra én leverandør",
+  "dialog.provider.llmtr.note": "Modeller driftet i Tyrkia og rabatterte priser på globale modeller",
   "dialog.provider.vercel.note": "Enhetlig tilgang til AI-modeller med smart ruting",
 
   "dialog.model.select.title": "Velg modell",
diff --git a/packages/app/src/i18n/pl.ts b/packages/app/src/i18n/pl.ts
index c9bb6cf566..717c4f1f5d 100644
--- a/packages/app/src/i18n/pl.ts
+++ b/packages/app/src/i18n/pl.ts
@@ -94,6 +94,7 @@ export const dict = {
   "dialog.provider.openai.note": "Modele GPT do szybkich i wszechstronnych zadań AI",
   "dialog.provider.google.note": "Modele Gemini do szybkich i ustrukturyzowanych odpowiedzi",
   "dialog.provider.openrouter.note": "Dostęp do wszystkich obsługiwanych modeli od jednego dostawcy",
+  "dialog.provider.llmtr.note": "Modele hostowane w Turcji i niższe ceny modeli globalnych",
   "dialog.provider.vercel.note": "Ujednolicony dostęp do modeli AI z inteligentnym routingiem",
   "dialog.model.select.title": "Wybierz model",
   "dialog.model.search.placeholder": "Szukaj modeli",
diff --git a/packages/app/src/i18n/ru.ts b/packages/app/src/i18n/ru.ts
index d6433de90b..f678c4314a 100644
--- a/packages/app/src/i18n/ru.ts
+++ b/packages/app/src/i18n/ru.ts
@@ -102,6 +102,7 @@ export const dict = {
   "dialog.provider.openai.note": "Модели GPT для быстрых и мощных задач общего ИИ",
   "dialog.provider.google.note": "Модели Gemini для быстрых и структурированных ответов",
   "dialog.provider.openrouter.note": "Доступ ко всем поддерживаемым моделям через одного провайдера",
+  "dialog.provider.llmtr.note": "Модели, размещённые в Турции, и сниженные цены на глобальные",
   "dialog.provider.vercel.note": "Единый доступ к ИИ-моделям с умной маршрутизацией",
 
   "dialog.model.select.title": "Выбрать модель",
diff --git a/packages/app/src/i18n/th.ts b/packages/app/src/i18n/th.ts
index 041955b0fa..8247b197ad 100644
--- a/packages/app/src/i18n/th.ts
+++ b/packages/app/src/i18n/th.ts
@@ -102,6 +102,7 @@ export const dict = {
   "dialog.provider.openai.note": "โมเดล GPT สำหรับงาน AI ทั่วไปที่รวดเร็วและมีความสามารถ",
   "dialog.provider.google.note": "โมเดล Gemini สำหรับการตอบสนองที่รวดเร็วและมีโครงสร้าง",
   "dialog.provider.openrouter.note": "เข้าถึงโมเดลที่รองรับทั้งหมดจากผู้ให้บริการเดียว",
+  "dialog.provider.llmtr.note": "โมเดลที่โฮสต์ในตุรกีและราคาส่วนลดสำหรับโมเดลระดับโลก",
   "dialog.provider.vercel.note": "การเข้าถึงโมเดล AI แบบรวมด้วยการกำหนดเส้นทางอัจฉริยะ",
 
   "dialog.model.select.title": "เลือกโมเดล",
diff --git a/packages/app/src/i18n/zh.ts b/packages/app/src/i18n/zh.ts
index 1eee007d85..e586ae78ac 100644
--- a/packages/app/src/i18n/zh.ts
+++ b/packages/app/src/i18n/zh.ts
@@ -128,6 +128,7 @@ export const dict = {
   "dialog.provider.openai.note": "使用 ChatGPT Pro/Plus 或 API 密钥连接",
   "dialog.provider.google.note": "使用 Google 账号或 API 密钥连接",
   "dialog.provider.openrouter.note": "使用 OpenRouter 账号或 API 密钥连接",
+  "dialog.provider.llmtr.note": "土耳其本地托管模型，全球模型享折扣价",
   "dialog.provider.vercel.note": "使用 Vercel 账号或 API 密钥连接",
 
   "dialog.model.select.title": "选择模型",
diff --git a/packages/app/src/i18n/zht.ts b/packages/app/src/i18n/zht.ts
index f3fff4f578..de7b59a04b 100644
--- a/packages/app/src/i18n/zht.ts
+++ b/packages/app/src/i18n/zht.ts
@@ -106,6 +106,7 @@ export const dict = {
   "dialog.provider.copilot.note": "使用 Copilot 或 API 金鑰連線",
   "dialog.provider.google.note": "Gemini 模型，提供快速且結構化的回應",
   "dialog.provider.openrouter.note": "從單一提供者存取所有支援的模型",
+  "dialog.provider.llmtr.note": "土耳其在地託管模型，全球模型享折扣價",
   "dialog.provider.vercel.note": "透過智慧路由統一存取 AI 模型",
 
   "dialog.model.select.title": "選擇模型",
diff --git a/packages/cyberstrike/src/cli/cmd/auth.ts b/packages/cyberstrike/src/cli/cmd/auth.ts
index ee72102cbd..895742c38c 100644
--- a/packages/cyberstrike/src/cli/cmd/auth.ts
+++ b/packages/cyberstrike/src/cli/cmd/auth.ts
@@ -3,6 +3,7 @@ import { cmd } from "./cmd"
 import * as prompts from "@clack/prompts"
 import { UI } from "../ui"
 import { ModelsDev } from "../../provider/models"
+import { LLMTR } from "../../provider/llmtr"
 import { map, pipe, sortBy, values } from "remeda"
 import path from "path"
 import os from "os"
@@ -252,6 +253,7 @@ export const AuthLoginCommand = cmd({
           return
         }
         await ModelsDev.refresh().catch(() => {})
+        await LLMTR.refresh().catch(() => {})
 
         const config = await Config.get()
 
@@ -275,7 +277,8 @@ export const AuthLoginCommand = cmd({
           openai: 3,
           google: 4,
           openrouter: 5,
-          vercel: 6,
+          llmtr: 6,
+          vercel: 7,
         }
         let provider = await prompts.autocomplete({
           message: "Select provider",
@@ -295,6 +298,7 @@ export const AuthLoginCommand = cmd({
                   cyberstrike: "recommended",
                   anthropic: "Claude Max or API key",
                   openai: "ChatGPT Plus/Pro or API key",
+                  llmtr: "Türkiye-hosted models, discounted pricing",
                 }[x.id],
               })),
             ),
@@ -348,6 +352,10 @@ export const AuthLoginCommand = cmd({
           prompts.log.info("Create an api key at https://cyberstrike.io/auth")
         }
 
+        if (provider === LLMTR.ID) {
+          prompts.log.info("Create an api key from your LLMTR account - https://llmtr.com/docs")
+        }
+
         if (provider === "vercel") {
           prompts.log.info("You can create an api key at https://vercel.link/ai-gateway-token")
         }
diff --git a/packages/cyberstrike/src/flag/flag.ts b/packages/cyberstrike/src/flag/flag.ts
index f602c4dba4..c8de9b88a3 100644
--- a/packages/cyberstrike/src/flag/flag.ts
+++ b/packages/cyberstrike/src/flag/flag.ts
@@ -57,6 +57,9 @@ export namespace Flag {
   export const CYBERSTRIKE_EXPERIMENTAL_MARKDOWN = truthy("CYBERSTRIKE_EXPERIMENTAL_MARKDOWN")
   export const CYBERSTRIKE_MODELS_URL = process.env["CYBERSTRIKE_MODELS_URL"]
   export const CYBERSTRIKE_MODELS_PATH = process.env["CYBERSTRIKE_MODELS_PATH"]
+  export const CYBERSTRIKE_LLMTR_URL = process.env["CYBERSTRIKE_LLMTR_URL"]
+  export const CYBERSTRIKE_LLMTR_PATH = process.env["CYBERSTRIKE_LLMTR_PATH"]
+  export const CYBERSTRIKE_DISABLE_LLMTR = truthy("CYBERSTRIKE_DISABLE_LLMTR")
 
   function number(key: string) {
     const value = process.env[key]
diff --git a/packages/cyberstrike/src/provider/llmtr.ts b/packages/cyberstrike/src/provider/llmtr.ts
new file mode 100644
index 0000000000..520b96d63c
--- /dev/null
+++ b/packages/cyberstrike/src/provider/llmtr.ts
@@ -0,0 +1,264 @@
+// LLMTR (https://llmtr.com) is a Türkiye-based, OpenAI-compatible AI gateway.
+//
+// It is not published in the models.dev catalog, so the provider entry is built
+// here from the gateway's own `/v1/models` endpoint (public, no key required)
+// and merged into the catalog by ModelsDev.get(). Everything downstream —
+// `cyberstrike auth login`, the model picker, the app's provider settings —
+// then sees LLMTR exactly like any models.dev provider.
+//
+// Two things make LLMTR worth a first-class entry instead of a config snippet:
+// models hosted inside Türkiye (Trendyol Asure, Magibu, Muse Glimmer, local
+// Qwen/Gemma builds) that no other provider carries, and per-model pricing that
+// is often below the upstream list price. Both are catalog facts, so they only
+// reach the user if the live catalog is what populates the model list.
+
+import path from "path"
+import { Global } from "../global"
+import { Log } from "../util/log"
+import { Flag } from "../flag/flag"
+import { Installation } from "../installation"
+import { lazy } from "@/util/lazy"
+import type { ModelsDev } from "./models"
+
+export namespace LLMTR {
+  const log = Log.create({ service: "llmtr" })
+
+  export const ID = "llmtr"
+  export const NAME = "LLMTR"
+  export const ENV = "LLMTR_API_KEY"
+  export const NPM = "@ai-sdk/openai-compatible"
+
+  const filepath = path.join(Global.Path.cache, "llmtr.json")
+
+  export function url() {
+    return Flag.CYBERSTRIKE_LLMTR_URL || "https://llmtr.com/v1"
+  }
+
+  // The gateway returns an OpenRouter-shaped catalog: pricing in dollars per
+  // token, modalities under `architecture`, per-model `supported_parameters`.
+  type Entry = {
+    id: string
+    name?: string
+    created?: number
+    context_length?: number
+    supported_operations?: string[]
+    architecture?: {
+      input_modalities?: string[]
+      output_modalities?: string[]
+    }
+    pricing?: Record<string, string | undefined>
+    top_provider?: { context_length?: number; max_completion_tokens?: number }
+    supported_parameters?: string[]
+    reasoning?: { supported_efforts?: string[] }
+  }
+
+  // models.dev has no "file" modality; LLMTR uses it for document input.
+  const MODALITY = {
+    text: "text",
+    image: "image",
+    audio: "audio",
+    video: "video",
+    file: "pdf",
+    pdf: "pdf",
+  } as const
+
+  function modalities(input: string[] | undefined) {
+    return (input ?? []).flatMap((item) => MODALITY[item as keyof typeof MODALITY] ?? [])
+  }
+
+  // Catalog prices are per token; models.dev costs are per million tokens.
+  // Scaling by a million leaves binary float noise ($1e-7/token lands on
+  // 0.09999999999999999 rather than 0.1), so round back to a precision far
+  // finer than any real price - cost is rendered to the user per session.
+  function price(input: string | undefined) {
+    const value = Number(input)
+    if (!Number.isFinite(value)) return 0
+    return Math.round(value * 1_000_000 * 1e6) / 1e6
+  }
+
+  function model(entry: Entry): ModelsDev.Model {
+    const params = new Set(entry.supported_parameters ?? [])
+    const input = modalities(entry.architecture?.input_modalities)
+    const context = entry.context_length ?? entry.top_provider?.context_length ?? 0
+    const efforts = entry.reasoning?.supported_efforts ?? []
+    return {
+      id: entry.id,
+      name: entry.name ?? entry.id,
+      family: entry.id.split("/")[0],
+      release_date: new Date((entry.created ?? 0) * 1000).toISOString().slice(0, 10),
+      attachment: input.some((item) => item !== "text"),
+      reasoning: Boolean(entry.reasoning) || params.has("reasoning") || params.has("include_reasoning"),
+      temperature: params.has("temperature"),
+      tool_call: params.has("tools"),
+      cost: {
+        input: price(entry.pricing?.prompt),
+        output: price(entry.pricing?.completion),
+        cache_read: price(entry.pricing?.input_cache_read),
+        cache_write: price(entry.pricing?.input_cache_write),
+      },
+      limit: {
+        context,
+        output: entry.top_provider?.max_completion_tokens ?? context,
+      },
+      modalities: {
+        input,
+        output: modalities(entry.architecture?.output_modalities),
+      },
+      options: {},
+      reasoning_options: efforts.length ? [{ type: "effort", values: efforts }] : undefined,
+    }
+  }
+
+  // The catalog also carries embedding and image models, which the chat
+  // pipeline cannot drive — keep only what /v1/chat/completions can serve.
+  function chat(entry: Entry) {
+    return (
+      (entry.supported_operations ?? ["CHAT_COMPLETIONS"]).includes("CHAT_COMPLETIONS") &&
+      modalities(entry.architecture?.output_modalities).includes("text")
+    )
+  }
+
+  export function convert(entries: Entry[]): ModelsDev.Provider {
+    return {
+      id: ID,
+      name: NAME,
+      api: url(),
+      npm: NPM,
+      env: [ENV],
+      models: Object.fromEntries(entries.filter(chat).map((entry) => [entry.id, model(entry)])),
+    }
+  }
+
+  // Enough of the catalog to pick a model before the first refresh lands (fresh
+  // install, offline, or CYBERSTRIKE_DISABLE_MODELS_FETCH): every Türkiye-hosted
+  // chat model, plus one flagship per major upstream vendor.
+  const SEED: Entry[] = [
+    {
+      id: "llmtr/gemma-4",
+      name: "Gemma 4",
+      created: 1776880304,
+      context_length: 131072,
+      architecture: { input_modalities: ["text", "image"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000002", completion: "0.000005", input_cache_read: "0.0000005" },
+      top_provider: { context_length: 131072, max_completion_tokens: 131072 },
+      supported_parameters: ["max_tokens", "parallel_tool_calls", "reasoning", "temperature", "tools", "top_p"],
+    },
+    {
+      id: "llmtr/qwen3-6-35b",
+      name: "Qwen 3.6 35B-A3B",
+      created: 1776880304,
+      context_length: 262144,
+      architecture: { input_modalities: ["text"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000005", completion: "0.000005" },
+      top_provider: { context_length: 262144, max_completion_tokens: 65536 },
+      supported_parameters: ["max_tokens", "parallel_tool_calls", "reasoning", "temperature", "tools", "top_p"],
+    },
+    {
+      id: "llmtr/qwen3-5-4b",
+      name: "Qwen 3.5 4B",
+      created: 1776880304,
+      context_length: 131072,
+      architecture: { input_modalities: ["text"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000001", completion: "0.000003" },
+      top_provider: { context_length: 131072, max_completion_tokens: 32768 },
+      supported_parameters: ["max_tokens", "temperature", "tools", "top_p"],
+    },
+    {
+      id: "llmtr/muse-glimmer-30b-tr",
+      name: "Muse Glimmer 30B (Türkiye)",
+      created: 1776880304,
+      context_length: 131072,
+      architecture: { input_modalities: ["text"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000002", completion: "0.000005" },
+      top_provider: { context_length: 131072, max_completion_tokens: 32768 },
+      supported_parameters: ["max_tokens", "temperature", "tools", "top_p"],
+    },
+    {
+      id: "llmtr/trendyol-asure-12b",
+      name: "Trendyol Asure 12B",
+      created: 1786690403,
+      context_length: 40960,
+      architecture: { input_modalities: ["text", "image"], output_modalities: ["text"] },
+      pricing: { prompt: "0.0000001", completion: "0.0000005", input_cache_read: "0.000000025" },
+      top_provider: { context_length: 40960, max_completion_tokens: 40960 },
+      supported_parameters: ["max_tokens", "temperature", "top_p"],
+    },
+    {
+      id: "llmtr/magibu-11b-v8",
+      name: "Magibu 11B v8",
+      created: 1780689763,
+      context_length: 8192,
+      architecture: { input_modalities: ["text"], output_modalities: ["text"] },
+      pricing: { prompt: "0.0000001", completion: "0.0000005" },
+      top_provider: { context_length: 8192, max_completion_tokens: 8192 },
+      supported_parameters: ["max_tokens", "temperature", "top_p"],
+    },
+    {
+      id: "anthropic/claude-opus-5",
+      name: "Claude Opus 5",
+      created: 1776880299,
+      context_length: 200000,
+      architecture: { input_modalities: ["text", "image", "file"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000005", completion: "0.000025" },
+      top_provider: { context_length: 200000, max_completion_tokens: 64000 },
+      supported_parameters: ["max_tokens", "parallel_tool_calls", "temperature", "tool_choice", "tools", "top_p"],
+    },
+    {
+      id: "anthropic/claude-sonnet-5",
+      name: "Claude Sonnet 5",
+      created: 1776880299,
+      context_length: 200000,
+      architecture: { input_modalities: ["text", "image", "file"], output_modalities: ["text"] },
+      pricing: { prompt: "0.000003", completion: "0.000015" },
+      top_provider: { context_length: 200000, max_completion_tokens: 64000 },
+      supported_parameters: ["max_tokens", "parallel_tool_calls", "temperature", "tool_choice", "tools", "top_p"],
+    },
+    {
+      id: "openai/gpt-5.6-terra",
+      name: "GPT-5.6 Terra",
+      created: 1776880298,
+      context_length: 400000,
+      architecture: { input_modalities: ["text", "image", "file"], output_modalities: ["text"] },
+      pricing: { prompt: "0.00000125", completion: "0.00001" },
+      top_provider: { context_length: 400000, max_completion_tokens: 128000 },
+      supported_parameters: ["max_tokens", "parallel_tool_calls", "temperature", "tool_choice", "tools", "top_p"],
+    },
+    {
+      id: "google/gemini-3.6-flash",
+      name: "Gemini 3.6 Flash",
+      created: 1784702661,
+      context_length: 1048576,
+      architecture: { input_modalities: ["text", "image", "file", "audio"], output_modalities: ["text"] },
+      pricing: { prompt: "0.0000015", completion: "0.0000075", input_cache_read: "0.00000015" },
+      top_provider: { context_length: 1048576, max_completion_tokens: 65536 },
+      supported_parameters: ["include_reasoning", "max_tokens", "reasoning", "temperature", "tools", "top_p"],
+      reasoning: { supported_efforts: ["minimal", "low", "medium", "high"] },
+    },
+  ]
+
+  export const Data = lazy(async () => {
+    const cached = await Bun.file(Flag.CYBERSTRIKE_LLMTR_PATH ?? filepath)
+      .json()
+      .catch(() => undefined)
+    const entries = cached?.data as Entry[] | undefined
+    return convert(entries?.length ? entries : SEED)
+  })
+
+  export async function get() {
+    return Data()
+  }
+
+  export async function refresh() {
+    const result = await fetch(`${url()}/models`, {
+      headers: { "User-Agent": Installation.USER_AGENT },
+      signal: AbortSignal.timeout(10 * 1000),
+    }).catch((e) => {
+      log.error("Failed to fetch llmtr catalog", { error: e })
+    })
+    if (!result || !result.ok) return
+    const body = (await result.json().catch(() => undefined)) as { data?: Entry[] } | undefined
+    if (!body?.data?.length) return
+    await Bun.write(filepath, JSON.stringify(body))
+    Data.reset()
+  }
+}
diff --git a/packages/cyberstrike/src/provider/models.ts b/packages/cyberstrike/src/provider/models.ts
index a8df7841a6..9b7615fda1 100644
--- a/packages/cyberstrike/src/provider/models.ts
+++ b/packages/cyberstrike/src/provider/models.ts
@@ -4,6 +4,7 @@ import path from "path"
 import z from "zod"
 import { Installation } from "../installation"
 import { Flag } from "../flag/flag"
+import { LLMTR } from "./llmtr"
 import { lazy } from "@/util/lazy"
 
 // Try to import bundled snapshot (generated at build time)
@@ -135,8 +136,12 @@ export namespace ModelsDev {
   })
 
   export async function get() {
-    const result = await Data()
-    return result as Record<string, Provider>
+    const result = (await Data()) as Record<string, Provider>
+    // LLMTR is not published on models.dev, so its entry is built from the
+    // gateway's own catalog and merged here — that keeps every consumer
+    // (auth login, model picker, app settings) on a single provider list.
+    if (Flag.CYBERSTRIKE_DISABLE_LLMTR) return result
+    return { ...result, [LLMTR.ID]: await LLMTR.get() }
   }
 
   export async function refresh() {
@@ -159,11 +164,10 @@ export namespace ModelsDev {
 }
 
 if (!Flag.CYBERSTRIKE_DISABLE_MODELS_FETCH && !process.argv.includes("--get-yargs-completions")) {
-  ModelsDev.refresh()
-  setInterval(
-    async () => {
-      await ModelsDev.refresh()
-    },
-    60 * 1000 * 60,
-  ).unref()
+  const refresh = async () => {
+    await ModelsDev.refresh()
+    if (!Flag.CYBERSTRIKE_DISABLE_LLMTR) await LLMTR.refresh()
+  }
+  refresh()
+  setInterval(refresh, 60 * 1000 * 60).unref()
 }
diff --git a/packages/cyberstrike/src/provider/provider.ts b/packages/cyberstrike/src/provider/provider.ts
index 16dbfd9318..064ec3c1bd 100644
--- a/packages/cyberstrike/src/provider/provider.ts
+++ b/packages/cyberstrike/src/provider/provider.ts
@@ -381,6 +381,17 @@ export namespace Provider {
         },
       }
     },
+    llmtr: async () => {
+      return {
+        autoload: false,
+        options: {
+          headers: {
+            "HTTP-Referer": "https://cyberstrike.io/",
+            "X-Title": "cyberstrike",
+          },
+        },
+      }
+    },
     vercel: async () => {
       return {
         autoload: false,
diff --git a/packages/cyberstrike/src/provider/transform.ts b/packages/cyberstrike/src/provider/transform.ts
index a8e457121b..13945b8db8 100644
--- a/packages/cyberstrike/src/provider/transform.ts
+++ b/packages/cyberstrike/src/provider/transform.ts
@@ -4,6 +4,7 @@ import type { JSONSchema7 } from "@ai-sdk/provider"
 import type { JSONSchema } from "zod/v4/core"
 import type { Provider } from "./provider"
 import type { ModelsDev } from "./models"
+import { LLMTR } from "./llmtr"
 import { iife } from "@/util/iife"
 import { Flag } from "@/flag/flag"
 
@@ -338,6 +339,16 @@ export namespace ProviderTransform {
   export function variants(model: Provider.Model): Record<string, Record<string, any>> {
     if (!model.capabilities.reasoning) return {}
 
+    // LLMTR publishes the exact effort list every model accepts, so read it
+    // instead of inferring from the npm package (shared with every other
+    // openai-compatible provider) or from the model id (the same upstream model
+    // is offered with different effort sets). Each effort maps to the standard
+    // `reasoning_effort` body field, which the gateway advertises for all of them.
+    if (model.providerID === LLMTR.ID) {
+      const efforts = model.reasoning_options?.flatMap((o) => (o.type === "effort" ? o.values : [])) ?? []
+      return Object.fromEntries(efforts.map((effort) => [effort, { reasoningEffort: effort }]))
+    }
+
     const id = model.id.toLowerCase()
     if (
       id.includes("minimax") ||
@@ -848,6 +859,14 @@ export namespace ProviderTransform {
       if (keys.length > 0) return v[keys[0]]
       return {}
     }
+    if (model.providerID === LLMTR.ID) {
+      // Title/summarize calls should not pay for reasoning. The catalog effort
+      // list is ordered weakest-first, so the first supported one is the
+      // cheapest the model actually accepts.
+      const v = variants(model)
+      const first = Object.keys(v)[0]
+      return first ? v[first] : {}
+    }
     if (model.providerID === "deepseek") {
       return { thinking: { type: "disabled" } }
     }
diff --git a/packages/cyberstrike/test/preload.ts b/packages/cyberstrike/test/preload.ts
index 891c360076..e3238963d6 100644
--- a/packages/cyberstrike/test/preload.ts
+++ b/packages/cyberstrike/test/preload.ts
@@ -45,6 +45,7 @@ delete process.env["AWS_PROFILE"]
 delete process.env["AWS_REGION"]
 delete process.env["AWS_BEARER_TOKEN_BEDROCK"]
 delete process.env["OPENROUTER_API_KEY"]
+delete process.env["LLMTR_API_KEY"]
 delete process.env["GROQ_API_KEY"]
 delete process.env["MISTRAL_API_KEY"]
 delete process.env["PERPLEXITY_API_KEY"]
diff --git a/packages/cyberstrike/test/provider/llmtr.test.ts b/packages/cyberstrike/test/provider/llmtr.test.ts
new file mode 100644
index 0000000000..60454a22b5
--- /dev/null
+++ b/packages/cyberstrike/test/provider/llmtr.test.ts
@@ -0,0 +1,169 @@
+import { test, expect, describe } from "bun:test"
+import path from "path"
+
+import { tmpdir } from "../fixture/fixture"
+import { Instance } from "../../src/project/instance"
+import { Provider } from "../../src/provider/provider"
+import { ProviderTransform } from "../../src/provider/transform"
+import { ModelsDev } from "../../src/provider/models"
+import { LLMTR } from "../../src/provider/llmtr"
+import { Env } from "../../src/env"
+
+// A trimmed slice of the shape https://llmtr.com/v1/models returns.
+const catalog = [
+  {
+    id: "llmtr/trendyol-asure-12b",
+    name: "Trendyol Asure 12B",
+    created: 1786690403,
+    context_length: 40960,
+    supported_operations: ["CHAT_COMPLETIONS"],
+    architecture: { input_modalities: ["text", "image"], output_modalities: ["text"] },
+    pricing: { prompt: "0.0000001", completion: "0.0000005", input_cache_read: "0.000000025" },
+    top_provider: { context_length: 40960, max_completion_tokens: 8192 },
+    supported_parameters: ["max_tokens", "temperature", "tools", "top_p"],
+  },
+  {
+    id: "google/gemini-3.6-flash",
+    name: "Gemini 3.6 Flash",
+    created: 1784702661,
+    context_length: 1048576,
+    supported_operations: ["CHAT_COMPLETIONS", "RESPONSES"],
+    architecture: { input_modalities: ["text", "image", "file"], output_modalities: ["text"] },
+    pricing: { prompt: "0.0000015", completion: "0.0000075" },
+    top_provider: { context_length: 1048576, max_completion_tokens: 65536 },
+    supported_parameters: ["reasoning", "reasoning_effort", "temperature", "tools"],
+    reasoning: { supported_efforts: ["minimal", "low", "high"] },
+  },
+  {
+    id: "openai/text-embedding-3-large",
+    name: "Text Embedding 3 Large",
+    created: 1776880298,
+    context_length: 8191,
+    supported_operations: ["EMBEDDINGS"],
+    architecture: { input_modalities: ["text"], output_modalities: ["embedding"] },
+    pricing: { prompt: "0.00000013" },
+    top_provider: { context_length: 8191 },
+    supported_parameters: [],
+  },
+]
+
+describe("LLMTR catalog", () => {
+  const provider = LLMTR.convert(catalog)
+
+  test("only exposes models the chat endpoint can serve", () => {
+    expect(Object.keys(provider.models)).toEqual(["llmtr/trendyol-asure-12b", "google/gemini-3.6-flash"])
+  })
+
+  test("routes through the gateway with an openai-compatible sdk", () => {
+    expect(provider.id).toBe("llmtr")
+    expect(provider.api).toBe("https://llmtr.com/v1")
+    expect(provider.npm).toBe("@ai-sdk/openai-compatible")
+    expect(provider.env).toEqual(["LLMTR_API_KEY"])
+  })
+
+  test("converts per-token pricing to per-million-token cost", () => {
+    const model = provider.models["llmtr/trendyol-asure-12b"]
+    // Exact, not close-to: scaling per-token prices by a million must not leave
+    // float noise behind, since these values are rendered as session cost.
+    expect(model.cost?.input).toBe(0.1)
+    expect(model.cost?.output).toBe(0.5)
+    expect(model.cost?.cache_read).toBe(0.025)
+  })
+
+  test("carries limits, modalities and capabilities across", () => {
+    const model = provider.models["llmtr/trendyol-asure-12b"]
+    expect(model.limit).toEqual({ context: 40960, output: 8192 })
+    expect(model.modalities).toEqual({ input: ["text", "image"], output: ["text"] })
+    expect(model.attachment).toBe(true)
+    expect(model.tool_call).toBe(true)
+    expect(model.temperature).toBe(true)
+    expect(model.reasoning).toBe(false)
+  })
+
+  test("maps the file modality onto pdf", () => {
+    expect(provider.models["google/gemini-3.6-flash"].modalities?.input).toEqual(["text", "image", "pdf"])
+  })
+
+  test("keeps the advertised reasoning efforts", () => {
+    const model = provider.models["google/gemini-3.6-flash"]
+    expect(model.reasoning).toBe(true)
+    expect(model.reasoning_options).toEqual([{ type: "effort", values: ["minimal", "low", "high"] }])
+  })
+})
+
+describe("LLMTR reasoning variants", () => {
+  const model = {
+    id: "google/gemini-3.6-flash",
+    providerID: "llmtr",
+    api: { id: "google/gemini-3.6-flash", url: "https://llmtr.com/v1", npm: "@ai-sdk/openai-compatible" },
+    capabilities: { reasoning: true },
+    reasoning_options: [{ type: "effort", values: ["minimal", "low", "high"] }],
+  } as any
+
+  test("uses the efforts the gateway advertises, not the openai-compatible default", () => {
+    expect(ProviderTransform.variants(model)).toEqual({
+      minimal: { reasoningEffort: "minimal" },
+      low: { reasoningEffort: "low" },
+      high: { reasoningEffort: "high" },
+    })
+  })
+
+  test("background calls fall back to the cheapest supported effort", () => {
+    expect(ProviderTransform.smallOptions(model)).toEqual({ reasoningEffort: "minimal" })
+  })
+
+  test("non-reasoning models get no variants", () => {
+    expect(ProviderTransform.variants({ ...model, capabilities: { reasoning: false } })).toEqual({})
+  })
+})
+
+test("llmtr is published in the model catalog", async () => {
+  const database = await ModelsDev.get()
+  expect(database["llmtr"]).toBeDefined()
+  expect(database["llmtr"].env).toEqual(["LLMTR_API_KEY"])
+  // The seeded catalog always carries the Türkiye-hosted models, which is the
+  // reason the provider is bundled rather than left to a config snippet.
+  expect(Object.keys(database["llmtr"].models).some((id) => id.startsWith("llmtr/"))).toBe(true)
+})
+
+test("provider loaded from LLMTR_API_KEY", async () => {
+  await using tmp = await tmpdir({
+    init: async (dir) => {
+      await Bun.write(
+        path.join(dir, "cyberstrike.json"),
+        JSON.stringify({ $schema: "https://cyberstrike.io/config.json" }),
+      )
+    },
+  })
+  await Instance.provide({
+    directory: tmp.path,
+    init: async () => {
+      Env.set("LLMTR_API_KEY", "llmtr-test-key")
+    },
+    fn: async () => {
+      const providers = await Provider.list()
+      expect(providers["llmtr"]).toBeDefined()
+      expect(providers["llmtr"].source).toBe("env")
+      expect(providers["llmtr"].key).toBe("llmtr-test-key")
+      // The custom loader still attaches attribution headers on top.
+      expect(providers["llmtr"].options.headers["X-Title"]).toBe("cyberstrike")
+    },
+  })
+})
+
+test("llmtr stays out of the provider list without a key", async () => {
+  await using tmp = await tmpdir({
+    init: async (dir) => {
+      await Bun.write(
+        path.join(dir, "cyberstrike.json"),
+        JSON.stringify({ $schema: "https://cyberstrike.io/config.json" }),
+      )
+    },
+  })
+  await Instance.provide({
+    directory: tmp.path,
+    fn: async () => {
+      expect(await Provider.list().then((x) => x["llmtr"])).toBeUndefined()
+    },
+  })
+})