NVIDIA Nemotron 3.5 Super Text

Unganisha

Kitambulisho cha modeli nvidia/nemotron-3-5-super/text

# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/nvidia/nemotron-3-5-super/text?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nvidia/nemotron-3-5-super/text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");

import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nvidia/nemotron-3-5-super/text", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])

# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/sw/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
  --header "Authorization: Bearer $DOITONG_API_KEY"

# 2. Your agent calls the "run" tool with:
{
  "model_id": "nvidia/nemotron-3-5-super/text",
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }
}

Piga modeli ya NVIDIA Nemotron 3.5 Super Text (nvidia/nemotron-3-5-super/text) kupitia Doitong API. Nyaraka za mawakala: https://doitong.com/sw/developers/models/nvidia/nemotron-3-5-super/text.md

POST https://api.doitong.ru/v1/run/nvidia/nemotron-3-5-super/text?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json

{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}

Ikiwa hali ya jibu ni "queued" au "running", piga GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 mara kwa mara hadi iwe "succeeded"; faili ziko kwenye outputs[].url. POST https://api.doitong.ru/v1/quote/nvidia/nemotron-3-5-super/text yenye mwili uleule hurejesha bei kamili kabla ya kuendesha.

Ombi hili: ≈$ 0.01 salio za API 10 · ≈ ₽ 1.08 Iendeshe kwenye ukurasa huu

Pata ufunguo wa API

NVIDIA LLM #llm#reasoning#chat

LLM ya mazungumzo ya maandishi yenye hali ya hiari ya kufikiri inayorudisha mfuatano tofauti wa hoja, hadi tokeni 32,000

OpenAPI Markdown

NVIDIA · Maandishi

Tokeo lako la kwanza linaonekana hapa

Unda ombi hapa chini na uliendeshe kwa ufunguo wako wa API. Matokeo yanakiliwa kwenye hifadhi yetu, yakihifadhiwa milele au 7 siku bila malipo.

Unda ombi

Vidhibiti vinazalishwa kutoka kwenye schema ya modeli. Msimbo na bei husasishwa unapovibadilisha.

prompt •inahitajika

Maandishi yaliyotolewa kama kidokezo cha modeli.

Ya kina system_prompt · reasoning_mode · max_tokens · temperature · top_p · enable_safety_checker

system_prompt

Kidokezo cha hiari cha kiwango cha mfumo kinachoongoza tabia ya modeli.

reasoning_mode chaguomsingi no_think

Hali ya jibu: jibu la moja kwa moja lenye `no_think`, au jibu la mwisho lililotanguliwa na mfululizo wazi wa hoja lenye `think`.

max_tokens chaguomsingi 1024

Kikomo cha juu cha tokeni zinazozalishwa.

temperature chaguomsingi 1

Joto linalotumika kwa sampuli; thamani inayopendekezwa na NVIDIA kwa kazi zote ni 1.0.

top_p chaguomsingi 0.95

Mkusanyiko wa uwezekano unaotumika kwa sampuli ya kiini.

POST /run/nvidia/nemotron-3-5-super/text?wait=20 makadirio → $ 0.01

# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/nvidia/nemotron-3-5-super/text?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"

const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nvidia/nemotron-3-5-super/text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");

import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nvidia/nemotron-3-5-super/text", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "nvidia/nemotron-3-5-super/text",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}

Endesha ombi hili

Ufunguo wa API

Key yako inabaki kwenye kivinjari hiki: inatumwa kwa Doitong API pekee na kuhifadhiwa (localStorage) tu ukiweka tiki kwenye Kumbuka. Kumbuka katika kivinjari hiki Pata ufunguo wa API

Kuhusu NVIDIA Nemotron 3.5 Super Text

Modeli ya lugha ya maandishi kwa kazi za mazungumzo na hoja. `reasoning_mode` ikiwekwa kuwa `think`, jibu linajumuisha sehemu tofauti ya hoja kabla ya matokeo ya mwisho; `no_think` hutoa jibu la moja kwa moja. `max_tokens` huruhusu hadi 32,000, `temperature` kwa chaguo-msingi ni 1, na `system_prompt` inaweza kuelekeza tabia.

Vigezo

JinaAina ChaguomsingiInaruhusiwa Maelezo

promptinahitajika

Ainastring

Maandishi yaliyotolewa kama kidokezo cha modeli.

system_promptsi lazima

Ainastring | null

Kidokezo cha hiari cha kiwango cha mfumo kinachoongoza tabia ya modeli.

reasoning_modesi lazima

Ainaenum

Chaguomsingino_think

thinkno_think

Hali ya jibu: jibu la moja kwa moja lenye `no_think`, au jibu la mwisho lililotanguliwa na mfululizo wazi wa hoja lenye `think`.

max_tokenssi lazima

Ainainteger

Chaguomsingi1024

1 – 32,000

Kikomo cha juu cha tokeni zinazozalishwa.

temperaturesi lazima

Ainanumber

Chaguomsingi1

0 – 2

Joto linalotumika kwa sampuli; thamani inayopendekezwa na NVIDIA kwa kazi zote ni 1.0.

top_psi lazima

Ainanumber

Chaguomsingi0.95

≤ 1> 0

Mkusanyiko wa uwezekano unaotumika kwa sampuli ya kiini.

enable_safety_checkersi lazima

Ainaboolean

Chaguomsingitrue

Hudhibiti ikiwa ukaguzi wa usalama umewashwa.

inahitajika

Tokeo

GET /requests/req_8k2m4q7x1z9c3v5b6n0p2r4t

{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "nvidia/nemotron-3-5-super/text",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 10,
    "usd": "0.01",
    "charged": 10,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "output": "Hello! How can I help?",
    "reasoning": "string",
    "finish_reason": "stop",
    "usage": {
      "input_tokens": 1,
      "output_tokens": 1
    }
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}

Faili zako, chaguo lakoKila outputs[].url ni nakala kwenye hifadhi yetu: huhifadhiwa milele (hutozwa kwa GB kwa mwezi) au 7 siku bila malipo, kulingana na mpangilio wa akaunti yako au ?storage=.

Muundo uleule kwenye kila modelitype, url, content_type, width, height na duration, kwa picha, video na sauti. output ni kitu cha matokeo cha modeli yenyewe.

Sehemu za tokeo

output: stringMaandishi yaliyotolewa kama jibu.
reasoning: string | nullMfululizo wa hoja unaopatikana pekee wakati hali ya `think` imechaguliwa.
finish_reason: stringSababu ya kumaliza uzalishaji.
usage: object {input_tokens, output_tokens}Matumizi ya tokeni yanayohusishwa na ombi.

Miundo zaidi: LLM

Kwa mawakala wa AI: ukurasa huu katika Markdown unapatikana kwenye https://doitong.com/sw/developers/models/nvidia/nemotron-3-5-super/text.md. Modeli na miongozo yote: https://doitong.com/developers/llms.txt

Tokeo lako la kwanza linaonekana hapa

Unda ombi

Endesha ombi hili

Kuhusu NVIDIA Nemotron 3.5 Super Text

Vigezo

Tokeo

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NVIDIA Nemotron 3.5 Super Vision Tofauti: 3

Miundo zaidi: LLM

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Fibo Edit [Structured Instruction] Tofauti: 13

Fibo Lite · Structured Prompt Tofauti: 2