Source: https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/
Canonical: https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/
Language: uz

# Qwen3 VL 8B Thinking

[Markdown](https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/index.md) · [JSON](https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/facts.json)

## [Qwen3 VL 8B Thinking](https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/)

Qwen3-VL-8B-Thinking — Qwen’ning mulohazaga yo‘naltirilgan 8B ko‘rish-til nashri. U vizual muammolarni yechish, hujjatlarni talqin qilish, fazoviy tahlil va vizual namunalardan kod yaratish uchun matn, tasvir va videoni birlashtiradi.

- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/#method-0)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/qwen-qwen3-vl-8b-thinking/#method-1)

Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Qwen3-VL-8B-Thinking — Alibaba’ning Qwen3-VL oilasidagi mulohazaga yo‘naltirilgan zich 8B nashri. U umumiy vazifada matn, tasvir va videoni birlashtirib, matn yaratadi. Qwen Thinking va Instruct nashrlarini alohida chiqaradi; bu kartochka nomlangan Thinking modeliga taalluqli bo‘lib, uning maqsadlari orasida javob yaratishdan oldin vizual dalillarni tahlil qilish ham bor. Faqat matnli ish ham modelning til imkoniyatiga kiradi.

Ishlab chiqaruvchi avval vizual agentlarni taqdim etadi: model ish stoli yoki mobil interfeys elementlarini taniy oladi, ularning vazifalarini talqin qiladi va keyingi o‘zaro ta’sir haqida mulohaza yuritadi. Ilovada skrinshotlar joriy holatni beradi, vositalar esa tanlangan amallarni bajaradi. Foydali topshiriq foydalanuvchining maqsadi, ko‘rinadigan ekran va ruxsat etilgan amallarni berib, keyingi bosqich hamda uni asoslaydigan elementni so‘raydi. Yaratilgan talqin model ishlayotgan ilova bajargan amaldan alohida.

Vizual dasturlash namuna tasvirlari yoki videoni matnli kod bilan bog‘laydi. Qwen chiqish misollari sifatida Draw.io diagrammalari hamda HTML, CSS va JavaScript’ni hujjatlashtiradi. Skrinshot yoki eskizni zarur xatti-harakat, mazmun va maqsadli joylashuv bilan birga bering; tahrirlanadigan kod yoki diagramma mahsulini so‘rang. Fazoviy ishlar uchun oila obyekt joylashuvi, ko‘rish nuqtasi va to‘silishni, shuningdek 2D va 3D fazoviy bog‘lashni tavsiflaydi. Joylashuvlar kerak bo‘lsa, koordinatalar qoidasini ayting, shunda tavsiflangan joy va so‘ralgan chegara to‘rtburchagi bir xil tayanchdan foydalanadi.

Matn va oralab keladigan vizual material uchun asosiy kontekst 256K token. Model kartochkasi bir million tokengacha kengaytirishni ham tavsiflaydi, bu asosiy kontekst spetsifikatsiyasi emas, alohida sozlanadigan kengaytirishdir. Uzun kontekst qo‘llanishlariga hujjat sahifalarini o‘zaro solishtirish va videodan hodisalarni topish kiradi. Kirishni tayyorlashda sahifa tartibi va video vaqt belgilarini saqlang, javobdan esa har bir xulosa uchun ishlatilgan sahifa yoki lahzani ko‘rsatishni so‘rang.

Multimodal mulohaza ko‘rinadigan materialni ham, unga yozilgan savolni ham talab qiladigan matematika va ilmiy vazifalarni qamrab oladi. Oila obyektlar, mahsulotlar, diqqatga sazovor joylar, o‘simliklar va hayvonlarni keng vizual tanishni ham qo‘llaydi. Uning OCR qamrovi 32 tilga yoyilgan va kam yorug‘lik, xiralik yoki qiyalikdagi murakkab tasvirlarni, shuningdek hujjat tuzilishini talqin qilishni o‘z ichiga oladi. Skanerlangan masalada avval matnni ko‘chirib yozishni, keyin yechimni so‘rang; bu noto‘g‘ri o‘qilgan belgi yoki yorliq mulohazani o‘zgartirishidan oldin uni ko‘rinadigan qiladi.

Uchta arxitektura yangilanishi bu vizual va vaqt bilan bog‘liq ishni qo‘llab-quvvatlaydi. Interleaved-MRoPE pozitsion ma’lumotni vaqt, kenglik va balandlik bo‘ylab taqsimlaydi; DeepStack bir nechta darajadagi vizual xususiyatlarni til modeliga kiritadi; aniq matnli vaqt belgilari video kadrlar guruhlarining vaqt bo‘yicha o‘rnini ifodalaydi. Ularning amaliy ahamiyati fazoviy tafsilotni saqlash va hodisa tavsifini manbadagi lahzaga bog‘lashdir. Ular mayda yoki o‘qib bo‘lmaydigan manba tafsilotini kafolatli tanishga aylantirmaydi.

Aynan Thinking model kartochkasi vizual va matnli vazifalar uchun generatsiya tavsiyalarini alohida beradi. Ikkalasida ham temperature 1.0, top-p 0.95 va top-k 20 bilan tanlash ishlatiladi; vizual misolda presence penalty 0.0, matnli misolda esa 1.5. Chiqish uzunligi misol sozlamalari vizual ish uchun 40,960 va matn uchun 32,768, ayrim talabchan matn baholashlari uchun esa 81,920 tavsiya etiladi. Bular umumiy maksimal chiqish kafolati yoki model ishlayotgan xizmat albatta taqdim etadigan parametrlar emas, sozlash tavsiyalaridir.

Amaliy hujjat vazifasida tartiblangan sahifa tasvirlarini bering va shunday so‘rang: “Bo‘lim sarlavhalarini ajratib oling, diagramma bilan yonidagi matn o‘rtasidagi bog‘lanishni tushuntiring va har bir topilmaga sahifa havolasini qo‘shing.” Video uchun topilishi kerak bo‘lgan hodisani belgilang, uning vaqt belgisini va qisqa vizual tushuntirishni so‘rang. Vizual mulohaza savolida zarur yakuniy ish mahsuli va foydalanish mumkin bo‘lgan taxminlarni ayting. Chiqish matnli tushuntirish, ajratib olingan mazmun, kod yoki taklif qilingan vosita bosqichi bo‘lib qoladi; bu nashrning vizual kirishi video yoki nutq yaratish ish jarayoni emas.

Amaliy vazifa

### Amaliy vazifa

Ingliz tilidagi texnik misol

```
Reason about a written interface layout

Use this textual layout description: a dialog contains a title at the top, a long message in the middle and Cancel/Confirm buttons at the bottom. On a short screen, only the message area should scroll; both buttons must stay visible. Propose HTML and CSS structure and explain the height constraints. Do not assume an image was supplied.
```

#### Kutiladigan natija

```
An editable HTML/CSS proposal and a short explanation of which region scrolls.
```

#### Natijani tekshirish

```
Check the proposed structure limits message overflow while keeping both actions outside that scroll area.
```

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `Qwen/Qwen3-VL-8B-Thinking`

[`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=chat)

Alibaba /`Qwen/Qwen3-VL-8B-Thinking`

### Boshlash

Qwen3-VL-8B-Thinking — Qwen’ning mulohazaga yo‘naltirilgan 8B ko‘rish-til nashri. U vizual muammolarni yechish, hujjatlarni talqin qilish, fazoviy tahlil va vizual namunalardan kod yaratish uchun matn, tasvir va videoni birlashtiradi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Kirish

`text`

Chiqish

`text`

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Qwen/Qwen3-VL-8B-Thinking | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar function Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`modalities` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar text | Standart— |
| Maydon`provider` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Ushbu Ultra matn marshrutida provider.options rad etiladi | Standart— |
| Maydon`cache_control.ttl` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Haqiqiy prompt-kesh joylarida 1h rad etiladi | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`messages` | Parametr talablarirole/content tuzilishidagi xabarlar massivi |
| Parametr`file_material` | Parametr talablariHaqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi |
| Parametr`optional_controls` | Parametr talablaristream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parametr`control_scope` | Parametr talablariModelga xos; foydalanuvchi funksiya vositalari hostingdagi vositalardan farq qiladi |
| Parametr`output_modalities` | Parametr talablaritext |
| Parametr`hosted_operations` | Parametr talablarifalse |
| Parametr`multimodal_input_binding` | Parametr talablarinull |

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.000144** / 1K token Chiqish · Chiqish tokenlari **$0.00143** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

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. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · OpenAI Chat

curlPython SDKPython oqimi

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "Qwen/Qwen3-VL-8B-Thinking", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
    if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='Qwen/Qwen3-VL-8B-Thinking',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(result.to_dict(mode="json"))
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='Qwen/Qwen3-VL-8B-Thinking',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

**Ailoot Ultra** [`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=chat)

#### Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

#### Chaqirish uchun tegishli ID lar

[`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `Qwen/Qwen3-VL-8B-Thinking`

[`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=messages)

Alibaba /`Qwen/Qwen3-VL-8B-Thinking`

### Boshlash

Qwen3-VL-8B-Thinking — Qwen’ning mulohazaga yo‘naltirilgan 8B ko‘rish-til nashri. U vizual muammolarni yechish, hujjatlarni talqin qilish, fazoviy tahlil va vizual namunalardan kod yaratish uchun matn, tasvir va videoni birlashtiradi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

json · sse

### Ailoot da mavjud · kirish ma’lumotlari va usullar

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`

Kirish

`text`

Chiqish

`json`, `sse`

Chiqish formati

JSON yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Qwen/Qwen3-VL-8B-Thinking | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages, max\_tokens |
| Parametr`optional_controls` | Parametr talablaristream |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 hujjatini o‘qing va uning matnini ko‘rsatilgan kirish yoki xabar kontenti satriga joylashtiring. |

Hayot sikli: `synchronous_or_streamed`

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.000144** / 1K token Chiqish · Chiqish tokenlari **$0.00143** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

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. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · Anthropic Messages

To‘liq minimal JSON so‘rov tanasicurl · O‘zingizning UTF-8 hujjatingizdan foydalaningPython · Natijani to‘liq saqlang

```json
{
  "model": "Qwen/Qwen3-VL-8B-Thinking",
  "max_tokens": 128,
  "messages": [
    {
      "role": "user",
      "content": "Summarize the incident report."
    }
  ],
  "stream": false
}
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'Qwen/Qwen3-VL-8B-Thinking', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```

```python
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'Qwen/Qwen3-VL-8B-Thinking', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError

api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
    raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
    with urlopen(request, timeout=120) as response:
        raw = response.read()
        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
    Path('result.json').write_bytes(error.read())
    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
    raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · Anthropic Messages

JSON yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Barcha kontent bloklari, fikrlash imzolari va haqiqiy vosita ishlatish IDlarini saqlang. SSE bloklarining barcha o‘zgarish qismlarini yig‘ing; birinchi matn bloki to‘liq chiqish emas.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`model` | Turstring |
| Maydon`content[]` | Turtext\|thinking\|tool\_use\|other content block |
| Maydon`stop_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

**Ailoot Ultra** [`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=messages)

#### Usul yo‘llari taxalluslari

Yuqorida ko‘rsatilgan usul yo‘llaridan foydalaning.

#### Chaqirish uchun tegishli ID lar

[`Qwen/Qwen3-VL-8B-Thinking`](https://ailoot.ai/models/uz/#m=Qwen%2FQwen3-VL-8B-Thinking&route=Ultra&caller=Qwen%2FQwen3-VL-8B-Thinking&fmt=messages)

FAQ · Qwen/Qwen3-VL-8B-Thinking

Qanday kirish ma’lumotlari va natijalar mavjud?

`POST /v1/chat/completions` · `Qwen/Qwen3-VL-8B-Thinking`: `text` → `text` `POST /v1/messages` · `Qwen/Qwen3-VL-8B-Thinking`: `text` → `json`, `sse`

So‘rov qaysi maydonlardan foydalanadi?

`POST /v1/chat/completions` · `Qwen/Qwen3-VL-8B-Thinking`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `Qwen/Qwen3-VL-8B-Thinking`: `model`, `messages`, `max_tokens`, `stream`

Qanday cheklovlar amal qiladi?

`POST /v1/chat/completions` · `Qwen/Qwen3-VL-8B-Thinking`: `messages.min_items`: `1`

Ailoot’ni Claude Code, OpenCode, Hermes yoki ilovangizga ulang.

## Kompaniya va uning loyihalar portfeli

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Obuna

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[Obuna tanlash](https://ailoot.ai/docs/uz/billing/subscriptions/) · [Model narxlarini ko‘rish](https://ailoot.ai/models/uz/)

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Reseller litsenziyasi

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Saytdagi hujjatlar

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[Reseller litsenziyasini so‘rash](mailto:support@ailoot.ai) · [Oferta va litsenziya shartnomasi](https://ailoot.ai/legal/offer?lang=uz)

## Ailoot · Kompaniya va uning loyihalar portfeli





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