{
  "aboutHtml": "<p>Qwen3 Rerank nomzod matnni berilgan so‘rov va tartiblash yo‘l-yo‘rig‘iga nisbatan baholaydi. Aniq sozlangan selektor — qwen3-rerank. Uning vazifasi ma’lumot topish va hujjat tanlash ishlari uchun berilgan nomzodlarni tartiblashdir; moslik bahosini kirishlarigacha kuzatish mumkin bo‘lishi uchun so‘rov query, yo‘l-yo‘riq va nomzod parchalarni birga saqlaydi.</p><p>Hujjatlarni satrlar massivi sifatida tayyorlang; har bir elementda bitta nomzod parcha bo‘lsin. Massivdagi har bir pozitsiyani o‘zingizning hujjat identifikatoringiz, sarlavhangiz yoki manba joylashuviga bog‘laydigan alohida xarita saqlang. Shunda ilova satrlar massiviga hujjatlashtirilmagan identifikator obyektlarini qo‘shmasdan tartiblangan natijani boshlang‘ich parcha bilan qayta bog‘lay oladi. Yordam xizmati qidiruvida nomzodlar mahsulot qo‘llanmasidan allaqachon topilgan tegishli bo‘limlar bo‘lishi mumkin; query foydalanuvchining haqiqiy ma’lumot ehtiyojini bildirishi kerak.</p><p>Hujjatlashtirilgan so‘rov model, documents, query, top_n va instruct maydonlarini talab qiladi. query va instruct maydonlari satrlar, top_n esa aniq ko‘rsatilishi kerak bo‘lgan butun sondir. E’lon qilingan misolda uchta nomzod matn, top_n=2 va veb qidiruv savoliga javob beradigan tegishli parchalarni topish yo‘l-yo‘rig‘i ishlatilgan. Tartiblashda muhim bo‘lgan munosabatni instruct orqali ayting; haqiqiy savolni query’da, baholanadigan materialni esa documents’da saqlang.</p><p>Operatsiya qo‘llanmasida eng katta kirish uzunligi 30K deb ko‘rsatilgan. Nomzod parchalarni ularning mosligini baholash uchun kerakli matnga qarating; sarlavha yoki yaqin kontekst ma’noni o‘zgartirsa, ularni saqlang. Tanlangan parchani boshlang‘ich hujjatida tekshirish mumkin bo‘lishi uchun manba chegaralarini saqlang. Kirishni tayyorlash uchun aynan shu so‘rov profili va uning majburiy maydonlari asos bo‘lib qoladi.</p><p>Qaytarilgan tuzilgan natijada index va relevance_score maydonlariga ega results yozuvlari bor. index nomzodning tartiblangan natijalar ro‘yxatidagi o‘rnini emas, boshlang‘ich documents massividagi pozitsiyasini bildiradi. Qaytarilgan tartibni saqlang va tegishli kirish matnini tiklash uchun har bir index’dan foydalaning. Ilova tanlangan nomzodlarni ballari bilan birga ko‘ra olishi uchun qaytarilgan barcha natijalarni saqlang.</p><p>To‘liq JSON javobini, jumladan model, javob id’si va usage.total_tokens qiymatini saqlang. Qaytarilgan hujjat matni bo‘lmasligi mumkin, shuning uchun indekslarni qayta ishlashda boshlang‘ich nomzod massivini mavjud holda saqlang. Moslik ballari va qayd etilgan foydalanish turli vazifalarga ega: ballar tartiblash natijasini tasvirlaydi, usage esa operatsiya uchun qayd etilgan miqdorni bildiradi. Ularning hech biri keyingi javobni qo‘llovchi manba parchasini almashtirmaydi.</p><p>Ma’lumot topish jarayonida keyingi bosqich tekshirishi yoki iqtibos keltirishi kerak bo‘lgan parchalarni tanlash uchun tartiblashdan foydalaning. Tanlangan parcha mazmunini dalil sifatida ko‘rsatishdan oldin uni query va yo‘l-yo‘riq bilan solishtiring. Natijalar ro‘yxatidagi yuqori o‘rin tekshirishga nomzodni belgilaydi; ilovaning keyingi javobi haqiqiy matn va uning manba identifikatori bilan bog‘langan holda qolishi kerak.</p><p>Natijani namunaviy so‘rovlar va ilova ishlatadigan nomzodlar to‘plami bilan tekshiring. Indekslar mo‘ljallangan boshlang‘ich matnlarga olib borishini, tartib berilgan yo‘l-yo‘riqqa xizmat qilishini va tanlangan parchalar savolga javob berishini tekshiring. Aniq selektor, query, yo‘l-yo‘riq, nomzodlar xaritasi va to‘liq javobni birga saqlang; shu tariqa keyingi ma’lumot topish yoki hujjat bosqichi uchun qayta ishlatiladigan moslikka asoslangan tanlov yozuvi hosil bo‘ladi.</p>",
  "aboutText": "Qwen3 Rerank nomzod matnni berilgan so‘rov va tartiblash yo‘l-yo‘rig‘iga nisbatan baholaydi. Aniq sozlangan selektor — qwen3-rerank. Uning vazifasi ma’lumot topish va hujjat tanlash ishlari uchun berilgan nomzodlarni tartiblashdir; moslik bahosini kirishlarigacha kuzatish mumkin bo‘lishi uchun so‘rov query, yo‘l-yo‘riq va nomzod parchalarni birga saqlaydi.\n\nHujjatlarni satrlar massivi sifatida tayyorlang; har bir elementda bitta nomzod parcha bo‘lsin. Massivdagi har bir pozitsiyani o‘zingizning hujjat identifikatoringiz, sarlavhangiz yoki manba joylashuviga bog‘laydigan alohida xarita saqlang. Shunda ilova satrlar massiviga hujjatlashtirilmagan identifikator obyektlarini qo‘shmasdan tartiblangan natijani boshlang‘ich parcha bilan qayta bog‘lay oladi. Yordam xizmati qidiruvida nomzodlar mahsulot qo‘llanmasidan allaqachon topilgan tegishli bo‘limlar bo‘lishi mumkin; query foydalanuvchining haqiqiy ma’lumot ehtiyojini bildirishi kerak.\n\nHujjatlashtirilgan so‘rov model, documents, query, top_n va instruct maydonlarini talab qiladi. query va instruct maydonlari satrlar, top_n esa aniq ko‘rsatilishi kerak bo‘lgan butun sondir. E’lon qilingan misolda uchta nomzod matn, top_n=2 va veb qidiruv savoliga javob beradigan tegishli parchalarni topish yo‘l-yo‘rig‘i ishlatilgan. Tartiblashda muhim bo‘lgan munosabatni instruct orqali ayting; haqiqiy savolni query’da, baholanadigan materialni esa documents’da saqlang.\n\nOperatsiya qo‘llanmasida eng katta kirish uzunligi 30K deb ko‘rsatilgan. Nomzod parchalarni ularning mosligini baholash uchun kerakli matnga qarating; sarlavha yoki yaqin kontekst ma’noni o‘zgartirsa, ularni saqlang. Tanlangan parchani boshlang‘ich hujjatida tekshirish mumkin bo‘lishi uchun manba chegaralarini saqlang. Kirishni tayyorlash uchun aynan shu so‘rov profili va uning majburiy maydonlari asos bo‘lib qoladi.\n\nQaytarilgan tuzilgan natijada index va relevance_score maydonlariga ega results yozuvlari bor. index nomzodning tartiblangan natijalar ro‘yxatidagi o‘rnini emas, boshlang‘ich documents massividagi pozitsiyasini bildiradi. Qaytarilgan tartibni saqlang va tegishli kirish matnini tiklash uchun har bir index’dan foydalaning. Ilova tanlangan nomzodlarni ballari bilan birga ko‘ra olishi uchun qaytarilgan barcha natijalarni saqlang.\n\nTo‘liq JSON javobini, jumladan model, javob id’si va usage.total_tokens qiymatini saqlang. Qaytarilgan hujjat matni bo‘lmasligi mumkin, shuning uchun indekslarni qayta ishlashda boshlang‘ich nomzod massivini mavjud holda saqlang. Moslik ballari va qayd etilgan foydalanish turli vazifalarga ega: ballar tartiblash natijasini tasvirlaydi, usage esa operatsiya uchun qayd etilgan miqdorni bildiradi. Ularning hech biri keyingi javobni qo‘llovchi manba parchasini almashtirmaydi.\n\nMa’lumot topish jarayonida keyingi bosqich tekshirishi yoki iqtibos keltirishi kerak bo‘lgan parchalarni tanlash uchun tartiblashdan foydalaning. Tanlangan parcha mazmunini dalil sifatida ko‘rsatishdan oldin uni query va yo‘l-yo‘riq bilan solishtiring. Natijalar ro‘yxatidagi yuqori o‘rin tekshirishga nomzodni belgilaydi; ilovaning keyingi javobi haqiqiy matn va uning manba identifikatori bilan bog‘langan holda qolishi kerak.\n\nNatijani namunaviy so‘rovlar va ilova ishlatadigan nomzodlar to‘plami bilan tekshiring. Indekslar mo‘ljallangan boshlang‘ich matnlarga olib borishini, tartib berilgan yo‘l-yo‘riqqa xizmat qilishini va tanlangan parchalar savolga javob berishini tekshiring. Aniq selektor, query, yo‘l-yo‘riq, nomzodlar xaritasi va to‘liq javobni birga saqlang; shu tariqa keyingi ma’lumot topish yoki hujjat bosqichi uchun qayta ishlatiladigan moslikka asoslangan tanlov yozuvi hosil bo‘ladi.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "2679429c6d422e9ecd560903f6f49a10566f6e875afa0860f84cbdf0846f6af5",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "uz",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">Qwen: Qwen3 Rerank</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Yopish\">×</button></div><div class=\"idline\"><span>Qwen /</span><code>qwen3-rerank</code><button type=\"button\" id=\"copy-id\">ID ni nusxalash</button></div><nav class=\"card-jump-nav\" aria-label=\"Model kartochkasi bo‘limlari\"><button type=\"button\" data-card-jump=\"overview\">Boshlash</button><button type=\"button\" data-card-jump=\"methods\">Kirish ma’lumotlari va usullar</button><button type=\"button\" data-card-jump=\"pricing\">Tariflar</button><button type=\"button\" data-card-jump=\"examples\">Namunalar</button><button type=\"button\" data-card-jump=\"results\">Natijalar</button><button type=\"button\" data-card-jump=\"aliases\">Taxalluslar</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API usullari\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|rerank|/v1/rerank|qwen3-rerank\">Qayta saralash</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Boshlash</h3><p class=\"mdesc-full\">Qwen3 Rerank berilgan so‘rov va yo‘l-yo‘riq asosida nomzod matnlarni tartiblaydi. Aynan qwen3-rerank profili matnli hujjatlar ro‘yxatini qabul qiladi va ma’lumot topish hamda hujjat tanlash jarayonlari uchun indekslangan moslik ballari va foydalanish metama’lumotini qaytaradi.</p><dl class=\"card-io\" data-card-io><div><dt>Qabul qilinadigan kirish ma’lumotlari</dt><dd>Matn</dd></div><div><dt>Natijalar</dt><dd>structured</dd></div></dl><details class=\"card-about\"><summary>Model haqida</summary><p class=\"note-s\" data-model-method-boundary>Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.</p><div class=\"mabout\" id=\"m-about\"><p>Qwen3 Rerank nomzod matnni berilgan so‘rov va tartiblash yo‘l-yo‘rig‘iga nisbatan baholaydi. Aniq sozlangan selektor — qwen3-rerank. Uning vazifasi ma’lumot topish va hujjat tanlash ishlari uchun berilgan nomzodlarni tartiblashdir; moslik bahosini kirishlarigacha kuzatish mumkin bo‘lishi uchun so‘rov query, yo‘l-yo‘riq va nomzod parchalarni birga saqlaydi.</p><p>Hujjatlarni satrlar massivi sifatida tayyorlang; har bir elementda bitta nomzod parcha bo‘lsin. Massivdagi har bir pozitsiyani o‘zingizning hujjat identifikatoringiz, sarlavhangiz yoki manba joylashuviga bog‘laydigan alohida xarita saqlang. Shunda ilova satrlar massiviga hujjatlashtirilmagan identifikator obyektlarini qo‘shmasdan tartiblangan natijani boshlang‘ich parcha bilan qayta bog‘lay oladi. Yordam xizmati qidiruvida nomzodlar mahsulot qo‘llanmasidan allaqachon topilgan tegishli bo‘limlar bo‘lishi mumkin; query foydalanuvchining haqiqiy ma’lumot ehtiyojini bildirishi kerak.</p><p>Hujjatlashtirilgan so‘rov model, documents, query, top_n va instruct maydonlarini talab qiladi. query va instruct maydonlari satrlar, top_n esa aniq ko‘rsatilishi kerak bo‘lgan butun sondir. E’lon qilingan misolda uchta nomzod matn, top_n=2 va veb qidiruv savoliga javob beradigan tegishli parchalarni topish yo‘l-yo‘rig‘i ishlatilgan. Tartiblashda muhim bo‘lgan munosabatni instruct orqali ayting; haqiqiy savolni query’da, baholanadigan materialni esa documents’da saqlang.</p><p>Operatsiya qo‘llanmasida eng katta kirish uzunligi 30K deb ko‘rsatilgan. Nomzod parchalarni ularning mosligini baholash uchun kerakli matnga qarating; sarlavha yoki yaqin kontekst ma’noni o‘zgartirsa, ularni saqlang. Tanlangan parchani boshlang‘ich hujjatida tekshirish mumkin bo‘lishi uchun manba chegaralarini saqlang. Kirishni tayyorlash uchun aynan shu so‘rov profili va uning majburiy maydonlari asos bo‘lib qoladi.</p><p>Qaytarilgan tuzilgan natijada index va relevance_score maydonlariga ega results yozuvlari bor. index nomzodning tartiblangan natijalar ro‘yxatidagi o‘rnini emas, boshlang‘ich documents massividagi pozitsiyasini bildiradi. Qaytarilgan tartibni saqlang va tegishli kirish matnini tiklash uchun har bir index’dan foydalaning. Ilova tanlangan nomzodlarni ballari bilan birga ko‘ra olishi uchun qaytarilgan barcha natijalarni saqlang.</p><p>To‘liq JSON javobini, jumladan model, javob id’si va usage.total_tokens qiymatini saqlang. Qaytarilgan hujjat matni bo‘lmasligi mumkin, shuning uchun indekslarni qayta ishlashda boshlang‘ich nomzod massivini mavjud holda saqlang. Moslik ballari va qayd etilgan foydalanish turli vazifalarga ega: ballar tartiblash natijasini tasvirlaydi, usage esa operatsiya uchun qayd etilgan miqdorni bildiradi. Ularning hech biri keyingi javobni qo‘llovchi manba parchasini almashtirmaydi.</p><p>Ma’lumot topish jarayonida keyingi bosqich tekshirishi yoki iqtibos keltirishi kerak bo‘lgan parchalarni tanlash uchun tartiblashdan foydalaning. Tanlangan parcha mazmunini dalil sifatida ko‘rsatishdan oldin uni query va yo‘l-yo‘riq bilan solishtiring. Natijalar ro‘yxatidagi yuqori o‘rin tekshirishga nomzodni belgilaydi; ilovaning keyingi javobi haqiqiy matn va uning manba identifikatori bilan bog‘langan holda qolishi kerak.</p><p>Natijani namunaviy so‘rovlar va ilova ishlatadigan nomzodlar to‘plami bilan tekshiring. Indekslar mo‘ljallangan boshlang‘ich matnlarga olib borishini, tartib berilgan yo‘l-yo‘riqqa xizmat qilishini va tanlangan parchalar savolga javob berishini tekshiring. Aniq selektor, query, yo‘l-yo‘riq, nomzodlar xaritasi va to‘liq javobni birga saqlang; shu tariqa keyingi ma’lumot topish yoki hujjat bosqichi uchun qayta ishlatiladigan moslikka asoslangan tanlov yozuvi hosil bo‘ladi.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Ailoot da mavjud · kirish ma’lumotlari va usullar</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Qayta saralash</b> <code>POST /v1/rerank</code></summary><dl class=\"method-capabilities\"><div><dt>Kirish</dt><dd><code>text</code></dd></div><div><dt>Chiqish</dt><dd><code>structured</code></dd></div><div><dt>Chiqish formati</dt><dd>application/json</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Maydon</th><th>Tur</th><th>Talab</th><th>Qiymatlar va cheklovlar</th><th>Standart</th></tr></thead><tbody><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>qwen3-rerank</div><div>Shartlar: Aynan model tanlagichi.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">documents</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>array</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: Dastlabki kirish tartibida saqlanadigan nomzod matn parchalari.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">query</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: Moslikni aniqlash uchun qidiruv so‘rovi.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">top_n</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>integer</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: So‘ralgan tartiblangan natijalar soni; hujjatlashtirilmagan eng kam, eng ko‘p yoki standart qiymat haqida da’vo qilinmaydi.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr><tr data-parameter-availability=\"source_interface\"><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">instruct</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span><code>string</code></td><td data-cell-label=\"Talab\"><span class=\"card-cell-label\">Talab</span>Majburiy</td><td data-cell-label=\"Qiymatlar va cheklovlar\"><span class=\"card-cell-label\">Qiymatlar va cheklovlar</span><div>Shartlar: Qidiruv vazifasini tavsiflovchi ko‘rsatma.</div></td><td data-cell-label=\"Standart\" data-default=\"unspecified\"><span class=\"card-cell-label\">Standart</span>—</td></tr></tbody></table></div><details class=\"card-about\" data-material-combinations><summary>Kirish materiallari birikmalari</summary><p class=\"note-s\"><b></b></p></details><details class=\"note-s\" data-method-contract><summary>Usul parametrlari va hayot sikli</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parametr</th><th>Parametr talablari</th></tr></thead><tbody><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>content_type</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>application/json</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>required</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>model, documents, query, top_n, instruct</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>optional</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span></td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>material_types</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>text</td></tr><tr><th data-cell-label=\"Parametr\" scope=\"row\"><span class=\"card-cell-label\">Parametr</span><code>additional_properties</code></th><td data-cell-label=\"Parametr talablari\"><span class=\"card-cell-label\">Parametr talablari</span>true</td></tr></tbody></table></div><p>Hayot sikli: <code>synchronous</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Tariflar</h3><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.</p><dl data-price-conditions><dt>Tezkor rejim</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Tezkor rejim tanlanganda</span></dd><dt>Flex rejimi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">flex rejimi tanlanganda</span></dd><dt>Maksimal fikrlash darajasi</dt><dd>Ko‘rsatilmagan <span class=\"note-s\">Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda</span></dd></dl></div><div data-declared-tariff-pricing><h4>Ailoot tariflari</h4><h4>Sozlamalar bo‘yicha narxlar</h4><p class=\"note-s\">Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Sozlama</th><th>Tariflar jadvali</th><th>Hisob birligi</th><th>To‘lov</th></tr></thead><tbody><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Tokenlar uchun bazaviy tariflar</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>Asosiy tarif</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>—</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Kirish tokenlari</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Chiqish · Chiqish tokenlari</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshdan o‘qish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div><div><span>Kirish · Keshga yozish, 1 soat</span> <b>—</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr><tr><th data-cell-label=\"Sozlama\" scope=\"row\"><span class=\"card-cell-label\">Sozlama</span>Jami token</th><td data-cell-label=\"Tariflar jadvali\"><span class=\"card-cell-label\">Tariflar jadvali</span>—</td><td data-cell-label=\"Hisob birligi\"><span class=\"card-cell-label\">Hisob birligi</span>/ 1K token</td><td data-cell-label=\"To‘lov\"><span class=\"card-cell-label\">To‘lov</span><div><span>Kirish · Jami token</span> <b>$0.00014</b> <span class=\"price-unit\">/ 1K token</span></div></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. <a href=\"/docs/uz/billing/reserve/\">Summani band qilish va to‘lovni hisoblash tartibi →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">So‘rov namunalari</h3><h4>Ailoot Ultra · Qayta saralash</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Kod variantlari\"><button class=\"cg-tab\" id=\"model-code-2786-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-2786-panel-0\" aria-selected=\"true\" tabindex=\"0\">JSON · Matnlarni qayta saralang</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Kodni nusxalash\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-2786-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-2786-tab-0\"><pre data-lang=\"json\"><code>{\n  &quot;model&quot;: &quot;qwen3-rerank&quot;,\n  &quot;query&quot;: &quot;Which passage discusses text ranking?&quot;,\n  &quot;documents&quot;: [\n    &quot;Text ranking orders candidate passages by relevance.&quot;,\n    &quot;Quantum computing studies computation using quantum systems.&quot;,\n    &quot;Pretrained language models can improve text ranking.&quot;\n  ],\n  &quot;top_n&quot;: 2,\n  &quot;instruct&quot;: &quot;Given a web search query, retrieve relevant passages that answer the query.&quot;\n}</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Natijalarni olish va saqlash</h3><h4>Ailoot Ultra · Qayta saralash</h4><p class=\"note-s\">Indekslar va moslik baholarini o‘qing va har bir indeksni dastlabki hujjatlaringizga qayta bog‘lang. Qayta aks ettirilgan hujjat bo‘lmasligi mumkin.</p><div class=\"card-result-process\" data-unknown-recovery><h5>Asl javobni tekshirish kerak bo‘lsa</h5><p class=\"note-s\">Noaniq yuborishdan keyin dastlabki javob va so‘rov id sini saqlang; uni hech qachon qayta yubormang.</p></div><details class=\"card-about\" data-output-fields><summary>Javob maydonlari</summary><div class=\"tw\" data-card-table=\"output\"><table><thead><tr><th>Maydon</th><th>Tur</th><th>Ma’nosi</th></tr></thead><tbody><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">results[].index</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>integer</td><td data-cell-label=\"Ma’nosi\"><span class=\"card-cell-label\">Ma’nosi</span>Mos dastlabki kirish hujjatining indeksi.</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">results[].relevance_score</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>number</td><td data-cell-label=\"Ma’nosi\"><span class=\"card-cell-label\">Ma’nosi</span>Qaytarilgan moslik bahosi.</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td><td data-cell-label=\"Ma’nosi\"><span class=\"card-cell-label\">Ma’nosi</span>Javobdagi haqiqiy model.</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">id</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>string</td><td data-cell-label=\"Ma’nosi\"><span class=\"card-cell-label\">Ma’nosi</span>Haqiqiy javob identifikatori.</td></tr><tr><th data-cell-label=\"Maydon\" scope=\"row\"><span class=\"card-cell-label\">Maydon</span><code class=\"card-field-name\">usage.total_tokens</code></th><td data-cell-label=\"Tur\" data-field-type><span class=\"card-cell-label\">Tur</span>integer</td><td data-cell-label=\"Ma’nosi\"><span class=\"card-cell-label\">Ma’nosi</span>Hisob-kitob uchun ishlatilgan o‘lchangan jami tokenlar.</td></tr></tbody></table></div></details><details class=\"card-about\" data-method-errors><summary>Xatolar va keyingi qadamlar</summary><div class=\"tw\" data-card-table=\"errors\"><table><thead><tr><th>Javob</th><th>Shart</th><th>Keyingi qadam</th></tr></thead><tbody><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>400 · <code>invalid_request_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>JSON yoki majburiy model tanlovi yaroqsiz.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yangi so‘rovdan oldin ko‘rsatilgan kirish ma’lumotini tuzating.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>401 · <code>authentication_error</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>API kaliti yaroqsiz.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Yaroqli Ailoot API kalitingizdan foydalaning.</td></tr><tr><th data-cell-label=\"Javob\" scope=\"row\"><span class=\"card-cell-label\">Javob</span>503 · <code>price_unavailable</code></th><td data-cell-label=\"Shart\"><span class=\"card-cell-label\">Shart</span>Usulning tuzilgan narx ma’lumoti yoki unga ruxsat berish imkoniyati mavjud emas.</td><td data-cell-label=\"Keyingi qadam\"><span class=\"card-cell-label\">Keyingi qadam</span>Dastlabki javobni saqlang; noaniq yuborishni takrorlamang.</td></tr></tbody></table></div></details></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Taxalluslar</h3><h4>Model taxalluslari</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=qwen3-rerank&amp;route=Ultra&amp;caller=qwen3-rerank&amp;fmt=rerank\"><code>qwen3-rerank</code></a></span></p><h4>Usul yo‘llari taxalluslari</h4><p class=\"note-s\">Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.</p><h4>Chaqirish uchun tegishli ID lar</h4><p class=\"note-s\"><a href=\"#m=qwen3-rerank&amp;route=Ultra&amp;caller=qwen3-rerank&amp;fmt=rerank\"><code>qwen3-rerank</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "qwen3-rerank",
        "fmt": "rerank",
        "http": "POST",
        "path": "/v1/rerank",
        "request_model_id": "qwen3-rerank",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|rerank|/v1/rerank|qwen3-rerank",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "errors": [
              {
                "condition": "JSON yoki majburiy model tanlovi yaroqsiz.",
                "http_status": 400,
                "recovery": "Yangi so‘rovdan oldin ko‘rsatilgan kirish ma’lumotini tuzating.",
                "type": "invalid_request_error"
              },
              {
                "condition": "API kaliti yaroqsiz.",
                "http_status": 401,
                "recovery": "Yaroqli Ailoot API kalitingizdan foydalaning.",
                "type": "authentication_error"
              },
              {
                "condition": "Usulning tuzilgan narx ma’lumoti yoki unga ruxsat berish imkoniyati mavjud emas.",
                "http_status": 503,
                "recovery": "Dastlabki javobni saqlang; noaniq yuborishni takrorlamang.",
                "type": "price_unavailable"
              }
            ],
            "ignored_fields": [],
            "lifecycle": {
              "content": [],
              "create": {
                "http": "POST",
                "path": "/v1/rerank"
              },
              "mode": "synchronous",
              "status": [],
              "submit_status": 200,
              "unknown": "Noaniq yuborishdan keyin dastlabki javob va so‘rov id sini saqlang; uni hech qachon qayta yubormang."
            },
            "material_combinations": [
              [
                "text"
              ]
            ],
            "operation_modes": [
              "text_reranking"
            ],
            "outputs": {
              "every_actual_output": true,
              "family": "structured",
              "fields": [
                {
                  "description": "Mos dastlabki kirish hujjatining indeksi.",
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": "Qaytarilgan moslik bahosi.",
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": "Javobdagi haqiqiy model.",
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": "Haqiqiy javob identifikatori.",
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": "Hisob-kitob uchun ishlatilgan o‘lchangan jami tokenlar.",
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ],
              "format": "application/json",
              "result": "Indekslar va moslik baholarini o‘qing va har bir indeksni dastlabki hujjatlaringizga qayta bog‘lang. Qayta aks ettirilgan hujjat bo‘lmasligi mumkin."
            },
            "parameters": [
              {
                "availability": "source_interface",
                "conditions": "Aynan model tanlagichi.",
                "default": null,
                "default_known": false,
                "enum": [
                  "qwen3-rerank"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "conditions": "Dastlabki kirish tartibida saqlanadigan nomzod matn parchalari.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "documents",
                "required": true,
                "type": "array"
              },
              {
                "availability": "source_interface",
                "conditions": "Moslikni aniqlash uchun qidiruv so‘rovi.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "query",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "conditions": "So‘ralgan tartiblangan natijalar soni; hujjatlashtirilmagan eng kam, eng ko‘p yoki standart qiymat haqida da’vo qilinmaydi.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_n",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "conditions": "Qidiruv vazifasini tavsiflovchi ko‘rsatma.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instruct",
                "required": true,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "documents": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "instruct": {
                  "type": "string"
                },
                "model": {
                  "const": "qwen3-rerank",
                  "type": "string"
                },
                "query": {
                  "type": "string"
                },
                "top_n": {
                  "type": "integer"
                }
              },
              "required": [
                "model",
                "documents",
                "query",
                "top_n",
                "instruct"
              ],
              "type": "object"
            },
            "source_ambiguities": [
              {
                "field": "maximum_input_length",
                "meaning": "The operation says 30K without specifying a per-document or whole-batch allocation or an explicit unit."
              }
            ],
            "unsupported": []
          },
          "hints": [],
          "input": {
            "additional_properties": true,
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "documents",
              "query",
              "top_n",
              "instruct"
            ]
          },
          "lifecycle": {
            "content": [],
            "create": {
              "http": "POST",
              "path": "/v1/rerank"
            },
            "mode": "synchronous",
            "status": [],
            "submit_status": 200,
            "unknown": "Preserve the original response and request id after an ambiguous send; never replay it."
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "operation_modes": [
            "text_reranking"
          ],
          "output": {
            "every_actual_output": true,
            "family": "structured",
            "fields": [
              {
                "description": "Index of the corresponding original input document.",
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": "Returned relevance score.",
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": "Actual response model.",
                "name": "model",
                "type": "string"
              },
              {
                "description": "Actual response identifier.",
                "name": "id",
                "type": "string"
              },
              {
                "description": "Measured total tokens used for billing.",
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ],
            "format": "application/json",
            "result": "Read indices and relevance scores and map each index back to your original documents. An echoed document can be absent."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.00014000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.00000014",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"qwen3-rerank\",\n  \"query\": \"Which passage discusses text ranking?\",\n  \"documents\": [\n    \"Text ranking orders candidate passages by relevance.\",\n    \"Quantum computing studies computation using quantum systems.\",\n    \"Pretrained language models can improve text ranking.\"\n  ],\n  \"top_n\": 2,\n  \"instruct\": \"Given a web search query, retrieve relevant passages that answer the query.\"\n}",
            "label": "JSON · rerank text",
            "language": "json"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "hints": [
          "Keep your original document order so returned indices identify the right passages.",
          "Read relevance_score rather than treating the response as generated text or embeddings.",
          "Billing uses measured total tokens."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Qayta saralash",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "structured"
        ],
        "path": "/v1/rerank",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "total_token": 1.4e-07
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.00014000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.00000014",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "request_model_id": "qwen3-rerank",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00014000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.00000014",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ]
      }
    }
  ],
  "model_id": "qwen3-rerank",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "ad748c3c158fe6cedf59bb0dcb4c518f722e57417fff36c96ab9496b746e76a8",
    "input_html_sha256": "5e2be44d98b44515c2a95b7e60a5f3f3a5106ebcb15098e5bda9d4c868f76ab0",
    "private_audit_sha256": "c516699afd548b47dd0508cda2687620c30642c21f369938498b045522f7680d",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/uz/qwen3-rerank/",
    "description": "Qwen3 Rerank berilgan so‘rov va yo‘l-yo‘riq asosida nomzod matnlarni tartiblaydi. Aynan qwen3-rerank profili matnli hujjatlar ro‘yxatini qabul qiladi va ma’lumot topish hamda hujjat tanlash jarayonlari uchun indekslangan moslik ballari va foydalanish metama’lumotini qaytaradi.",
    "locale": "uz",
    "md_url": "https://ailoot.ai/models/uz/qwen3-rerank/index.md",
    "title": "Qwen: Qwen3 Rerank — Ailoot",
    "url": "https://ailoot.ai/models/uz/qwen3-rerank/"
  },
  "rawModel": {
    "about": "Qwen3 Rerank nomzod matnni berilgan so‘rov va tartiblash yo‘l-yo‘rig‘iga nisbatan baholaydi. Aniq sozlangan selektor — qwen3-rerank. Uning vazifasi ma’lumot topish va hujjat tanlash ishlari uchun berilgan nomzodlarni tartiblashdir; moslik bahosini kirishlarigacha kuzatish mumkin bo‘lishi uchun so‘rov query, yo‘l-yo‘riq va nomzod parchalarni birga saqlaydi.\n\nHujjatlarni satrlar massivi sifatida tayyorlang; har bir elementda bitta nomzod parcha bo‘lsin. Massivdagi har bir pozitsiyani o‘zingizning hujjat identifikatoringiz, sarlavhangiz yoki manba joylashuviga bog‘laydigan alohida xarita saqlang. Shunda ilova satrlar massiviga hujjatlashtirilmagan identifikator obyektlarini qo‘shmasdan tartiblangan natijani boshlang‘ich parcha bilan qayta bog‘lay oladi. Yordam xizmati qidiruvida nomzodlar mahsulot qo‘llanmasidan allaqachon topilgan tegishli bo‘limlar bo‘lishi mumkin; query foydalanuvchining haqiqiy ma’lumot ehtiyojini bildirishi kerak.\n\nHujjatlashtirilgan so‘rov model, documents, query, top_n va instruct maydonlarini talab qiladi. query va instruct maydonlari satrlar, top_n esa aniq ko‘rsatilishi kerak bo‘lgan butun sondir. E’lon qilingan misolda uchta nomzod matn, top_n=2 va veb qidiruv savoliga javob beradigan tegishli parchalarni topish yo‘l-yo‘rig‘i ishlatilgan. Tartiblashda muhim bo‘lgan munosabatni instruct orqali ayting; haqiqiy savolni query’da, baholanadigan materialni esa documents’da saqlang.\n\nOperatsiya qo‘llanmasida eng katta kirish uzunligi 30K deb ko‘rsatilgan. Nomzod parchalarni ularning mosligini baholash uchun kerakli matnga qarating; sarlavha yoki yaqin kontekst ma’noni o‘zgartirsa, ularni saqlang. Tanlangan parchani boshlang‘ich hujjatida tekshirish mumkin bo‘lishi uchun manba chegaralarini saqlang. Kirishni tayyorlash uchun aynan shu so‘rov profili va uning majburiy maydonlari asos bo‘lib qoladi.\n\nQaytarilgan tuzilgan natijada index va relevance_score maydonlariga ega results yozuvlari bor. index nomzodning tartiblangan natijalar ro‘yxatidagi o‘rnini emas, boshlang‘ich documents massividagi pozitsiyasini bildiradi. Qaytarilgan tartibni saqlang va tegishli kirish matnini tiklash uchun har bir index’dan foydalaning. Ilova tanlangan nomzodlarni ballari bilan birga ko‘ra olishi uchun qaytarilgan barcha natijalarni saqlang.\n\nTo‘liq JSON javobini, jumladan model, javob id’si va usage.total_tokens qiymatini saqlang. Qaytarilgan hujjat matni bo‘lmasligi mumkin, shuning uchun indekslarni qayta ishlashda boshlang‘ich nomzod massivini mavjud holda saqlang. Moslik ballari va qayd etilgan foydalanish turli vazifalarga ega: ballar tartiblash natijasini tasvirlaydi, usage esa operatsiya uchun qayd etilgan miqdorni bildiradi. Ularning hech biri keyingi javobni qo‘llovchi manba parchasini almashtirmaydi.\n\nMa’lumot topish jarayonida keyingi bosqich tekshirishi yoki iqtibos keltirishi kerak bo‘lgan parchalarni tanlash uchun tartiblashdan foydalaning. Tanlangan parcha mazmunini dalil sifatida ko‘rsatishdan oldin uni query va yo‘l-yo‘riq bilan solishtiring. Natijalar ro‘yxatidagi yuqori o‘rin tekshirishga nomzodni belgilaydi; ilovaning keyingi javobi haqiqiy matn va uning manba identifikatori bilan bog‘langan holda qolishi kerak.\n\nNatijani namunaviy so‘rovlar va ilova ishlatadigan nomzodlar to‘plami bilan tekshiring. Indekslar mo‘ljallangan boshlang‘ich matnlarga olib borishini, tartib berilgan yo‘l-yo‘riqqa xizmat qilishini va tanlangan parchalar savolga javob berishini tekshiring. Aniq selektor, query, yo‘l-yo‘riq, nomzodlar xaritasi va to‘liq javobni birga saqlang; shu tariqa keyingi ma’lumot topish yoki hujjat bosqichi uchun qayta ishlatiladigan moslikka asoslangan tanlov yozuvi hosil bo‘ladi.",
    "alias_of": null,
    "aliases": [],
    "author": "Qwen",
    "capabilities": {
      "context_length": 30000,
      "manufacturer_input": [
        "text"
      ],
      "manufacturer_output": [
        "rerank"
      ]
    },
    "card_routes": [
      {
        "label": "Ultra",
        "rates": [
          {
            "amount": "0.00014000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.00000014",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ],
        "summary": "Konfiguratsiya narxlari tafsilotlarda to‘liq ko‘rsatilgan."
      }
    ],
    "ctx": null,
    "formats": [
      "rerank"
    ],
    "id": "qwen3-rerank",
    "input": [
      "text"
    ],
    "kind": "rerank",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "errors": [
              {
                "condition": "JSON yoki majburiy model tanlovi yaroqsiz.",
                "http_status": 400,
                "recovery": "Yangi so‘rovdan oldin ko‘rsatilgan kirish ma’lumotini tuzating.",
                "type": "invalid_request_error"
              },
              {
                "condition": "API kaliti yaroqsiz.",
                "http_status": 401,
                "recovery": "Yaroqli Ailoot API kalitingizdan foydalaning.",
                "type": "authentication_error"
              },
              {
                "condition": "Usulning tuzilgan narx ma’lumoti yoki unga ruxsat berish imkoniyati mavjud emas.",
                "http_status": 503,
                "recovery": "Dastlabki javobni saqlang; noaniq yuborishni takrorlamang.",
                "type": "price_unavailable"
              }
            ],
            "ignored_fields": [],
            "lifecycle": {
              "content": [],
              "create": {
                "http": "POST",
                "path": "/v1/rerank"
              },
              "mode": "synchronous",
              "status": [],
              "submit_status": 200,
              "unknown": "Noaniq yuborishdan keyin dastlabki javob va so‘rov id sini saqlang; uni hech qachon qayta yubormang."
            },
            "material_combinations": [
              [
                "text"
              ]
            ],
            "operation_modes": [
              "text_reranking"
            ],
            "outputs": {
              "every_actual_output": true,
              "family": "structured",
              "fields": [
                {
                  "description": "Mos dastlabki kirish hujjatining indeksi.",
                  "name": "results[].index",
                  "type": "integer"
                },
                {
                  "description": "Qaytarilgan moslik bahosi.",
                  "name": "results[].relevance_score",
                  "type": "number"
                },
                {
                  "description": "Javobdagi haqiqiy model.",
                  "name": "model",
                  "type": "string"
                },
                {
                  "description": "Haqiqiy javob identifikatori.",
                  "name": "id",
                  "type": "string"
                },
                {
                  "description": "Hisob-kitob uchun ishlatilgan o‘lchangan jami tokenlar.",
                  "name": "usage.total_tokens",
                  "type": "integer"
                }
              ],
              "format": "application/json",
              "result": "Indekslar va moslik baholarini o‘qing va har bir indeksni dastlabki hujjatlaringizga qayta bog‘lang. Qayta aks ettirilgan hujjat bo‘lmasligi mumkin."
            },
            "parameters": [
              {
                "availability": "source_interface",
                "conditions": "Aynan model tanlagichi.",
                "default": null,
                "default_known": false,
                "enum": [
                  "qwen3-rerank"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "conditions": "Dastlabki kirish tartibida saqlanadigan nomzod matn parchalari.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "documents",
                "required": true,
                "type": "array"
              },
              {
                "availability": "source_interface",
                "conditions": "Moslikni aniqlash uchun qidiruv so‘rovi.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "query",
                "required": true,
                "type": "string"
              },
              {
                "availability": "source_interface",
                "conditions": "So‘ralgan tartiblangan natijalar soni; hujjatlashtirilmagan eng kam, eng ko‘p yoki standart qiymat haqida da’vo qilinmaydi.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "top_n",
                "required": true,
                "type": "integer"
              },
              {
                "availability": "source_interface",
                "conditions": "Qidiruv vazifasini tavsiflovchi ko‘rsatma.",
                "default": null,
                "default_known": false,
                "enum": null,
                "enum_known": false,
                "name": "instruct",
                "required": true,
                "type": "string"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "documents": {
                  "items": {
                    "type": "string"
                  },
                  "type": "array"
                },
                "instruct": {
                  "type": "string"
                },
                "model": {
                  "const": "qwen3-rerank",
                  "type": "string"
                },
                "query": {
                  "type": "string"
                },
                "top_n": {
                  "type": "integer"
                }
              },
              "required": [
                "model",
                "documents",
                "query",
                "top_n",
                "instruct"
              ],
              "type": "object"
            },
            "source_ambiguities": [
              {
                "field": "maximum_input_length",
                "meaning": "The operation says 30K without specifying a per-document or whole-batch allocation or an explicit unit."
              }
            ],
            "unsupported": []
          },
          "hints": [],
          "input": {
            "additional_properties": true,
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [],
            "required": [
              "model",
              "documents",
              "query",
              "top_n",
              "instruct"
            ]
          },
          "lifecycle": {
            "content": [],
            "create": {
              "http": "POST",
              "path": "/v1/rerank"
            },
            "mode": "synchronous",
            "status": [],
            "submit_status": 200,
            "unknown": "Preserve the original response and request id after an ambiguous send; never replay it."
          },
          "method": {
            "http": "POST",
            "path": "/v1/rerank"
          },
          "operation_modes": [
            "text_reranking"
          ],
          "output": {
            "every_actual_output": true,
            "family": "structured",
            "fields": [
              {
                "description": "Index of the corresponding original input document.",
                "name": "results[].index",
                "type": "integer"
              },
              {
                "description": "Returned relevance score.",
                "name": "results[].relevance_score",
                "type": "number"
              },
              {
                "description": "Actual response model.",
                "name": "model",
                "type": "string"
              },
              {
                "description": "Actual response identifier.",
                "name": "id",
                "type": "string"
              },
              {
                "description": "Measured total tokens used for billing.",
                "name": "usage.total_tokens",
                "type": "integer"
              }
            ],
            "format": "application/json",
            "result": "Read indices and relevance scores and map each index back to your original documents. An echoed document can be absent."
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.00014000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.00000014",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "{\n  \"model\": \"qwen3-rerank\",\n  \"query\": \"Which passage discusses text ranking?\",\n  \"documents\": [\n    \"Text ranking orders candidate passages by relevance.\",\n    \"Quantum computing studies computation using quantum systems.\",\n    \"Pretrained language models can improve text ranking.\"\n  ],\n  \"top_n\": 2,\n  \"instruct\": \"Given a web search query, retrieve relevant passages that answer the query.\"\n}",
            "label": "JSON · rerank text",
            "language": "json"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "rerank",
        "hints": [
          "Keep your original document order so returned indices identify the right passages.",
          "Read relevance_score rather than treating the response as generated text or embeddings.",
          "Billing uses measured total tokens."
        ],
        "http": "POST",
        "in": null,
        "input": [
          "text"
        ],
        "label": "Qayta saralash",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "structured"
        ],
        "path": "/v1/rerank",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "per_request",
          "image_input_price": null,
          "image_output_price": null,
          "per_request_price": null,
          "unit_prices": {
            "total_token": 1.4e-07
          }
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "dimensions": {
              "quoted_unit": "/ 1K tokens"
            },
            "label": "total token",
            "units": [
              {
                "amount": "0.00014000",
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": true,
                "estimate_only": false,
                "key": "total_token",
                "label": "total token",
                "native_amount_usd_per_unit": "0.00000014",
                "native_quantity": 1,
                "native_unit": "total_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": false,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "total_token"
              }
            ]
          }
        ],
        "request_model_id": "qwen3-rerank",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.00014000",
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": true,
            "estimate_only": false,
            "key": "total_token",
            "label": "total token",
            "native_amount_usd_per_unit": "0.00000014",
            "native_quantity": 1,
            "native_unit": "total_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": false,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "total_token"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "qwen3-rerank",
        "request_model_id": "qwen3-rerank",
        "route_label": "Ultra"
      }
    ],
    "name": "Qwen: Qwen3 Rerank",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "Qwen3 Rerank berilgan so‘rov va yo‘l-yo‘riq asosida nomzod matnlarni tartiblaydi. Aynan qwen3-rerank profili matnli hujjatlar ro‘yxatini qabul qiladi va ma’lumot topish hamda hujjat tanlash jarayonlari uchun indekslangan moslik ballari va foydalanish metama’lumotini qaytaradi."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "Qwen3 Rerank berilgan so‘rov va yo‘l-yo‘riq asosida nomzod matnlarni tartiblaydi. Aynan qwen3-rerank profili matnli hujjatlar ro‘yxatini qabul qiladi va ma’lumot topish hamda hujjat tanlash jarayonlari uchun indekslangan moslik ballari va foydalanish metama’lumotini qaytaradi.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "c946371cfebd82ae82f4f82090f0d7d5285603aa6608d0a4ac1d5086790fb00c",
    "renderer_sha256": "aa8a0fca1bd770c042b64987512b6187fca2067aea3ddc877f68b163d80e7df6"
  },
  "sourceRevision": "00cf5903d958e99d5eed86b5267b29a4e0801bfb833422cf0df354ef30618c12"
}