OpenAI/gpt-5.6-sol-web-search

gpt-5.6-sol-web-search

Free to try GPT 5.6 Sol Web Search API for advanced research, current answers, source comparison, and stable search-grounded production workflows.

Web Search

Related Gpt 5.6 Sol Models

gpt-5.6-sol-text-to-texttext-to-text

gpt-5.6-sol-image-to-textimage-to-text

gpt-5.6-sol-file-analysisfile-analysis

gpt-5.6-sol-web-searchweb-search

Documentation

API Examples

JavaScriptPythoncURL

Submit Example

const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer YOUR_API_KEY',
    Accept: 'text/event-stream',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gpt-5.6-sol-web-search',
    messages: [
      {
        role: 'user',
        content: 'Find the latest public information about Flaq AI and summarize it for a product brief.'
      }
    ],
    stream: true,
    max_tokens: 2048
  })
});

const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let assistantText = '';

while (true) {
  const { done, value } = await reader.read();
  if (done) break;

  buffer += decoder.decode(value, { stream: true });
  const frames = buffer.split('\n\n');
  buffer = frames.pop() || '';

  for (const frame of frames) {
    const lines = frame.split('\n').filter(Boolean);
    let eventName = 'message';
    const dataLines = [];

    for (const line of lines) {
      if (line.startsWith('event:')) {
        eventName = line.slice(6).trim();
      } else if (line.startsWith('data:')) {
        dataLines.push(line.replace(/^data:\s*/, ''));
      }
    }

    const raw = dataLines.join('\n').trim();
    if (raw === '[DONE]') {
      console.log('\nFinal text:', assistantText);
      continue;
    }

    let payload;
    try {
      payload = JSON.parse(raw);
    } catch {
      continue;
    }

    if (eventName === 'error' || payload.error) {
      const msg = payload.error?.message ?? payload.message ?? 'Chat request failed';
      throw new Error(msg);
    }

    const delta = payload.choices?.[0]?.delta;
    if (delta?.content) {
      assistantText += delta.content;
      console.log(assistantText);
    }
  }
}

Submit Example

import json
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/chat/completions',
    headers={
        'Authorization': 'Bearer YOUR_API_KEY',
        'Accept': 'text/event-stream',
        'Content-Type': 'application/json',
    },
    json={
        'model': 'gpt-5.6-sol-web-search',
        'messages': [
            {
                'role': 'user',
                'content': 'Find the latest public information about Flaq AI and summarize it for a product brief.',
            }
        ],
        'stream': True,
        'max_tokens': 2048,
    },
    stream=True,
)

response.raise_for_status()

event_name = 'message'
assistant_text = ''

for raw_line in response.iter_lines(decode_unicode=True):
    if not raw_line:
        event_name = 'message'
        continue

    if raw_line.startswith('event:'):
        event_name = raw_line.replace('event:', '', 1).strip()
        continue

    if raw_line.startswith('data:'):
        raw_data = raw_line.replace('data:', '', 1).strip()
        if raw_data == '[DONE]':
            print('\nFinal text:', assistant_text)
            continue

        payload = json.loads(raw_data)

        if event_name == 'error' or payload.get('error'):
            error = payload.get('error') or payload
            raise RuntimeError(error.get('message', 'Chat request failed'))

        choices = payload.get('choices') or []
        if choices:
            delta = choices[0].get('delta') or {}
            content = delta.get('content')
            if content:
                assistant_text += content
                print(content, end='', flush=True)

Submit Example

curl -N -X POST "https://api.flaq.ai/api/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Accept: text/event-stream" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-sol-web-search",
    "messages": [
      {
        "role": "user",
        "content": "Find the latest public information about Flaq AI and summarize it for a product brief."
      }
    ],
    "stream": true,
    "max_tokens": 2048
  }'

Start a new chat

Send a message to begin.

GPT 5.6 Sol Web Search Pricing

Parameters	Price	Original Price	Discount

Token: input	$5.0000 per 1M input tokens	-	Standard
Token: output	$30.0000 per 1M output tokens	-	Standard

README

Advanced & Production-Ready GPT 5.6 Sol Web Search API (Flagship OpenAI Research Integration)

GPT 5.6 Sol Web Search API on Flaq AI combines OpenAI's flagship GPT-5.6 reasoning with access to current web information. This production-ready search API integration helps developers build research experiences that can investigate recent events, compare public sources, and synthesize complex findings into useful answers. With conversational context and support for relevant multimodal inputs, teams can create advanced search-grounded workflows without assembling separate retrieval and model infrastructure.

Key Features of GPT 5.6 Sol Web Search API

Flagship Search Reasoning: Apply OpenAI's most capable GPT-5.6 model to complex questions that require current web context and careful synthesis.
Current Information Grounding: Connect responses with recent public information for time-sensitive research and validation workflows.
Multi-Source Synthesis: Compare retrieved material and organize findings into concise summaries, briefs, and structured analysis.
Multimodal Research Context: Combine text questions with supported image or file inputs when a search task needs additional context.
Conversation-Aware Follow-Up: Refine research questions and continue exploring results while retaining useful prior context.
Streaming API Integration: Deliver search-grounded responses progressively through a stable chat completion workflow.

How to Use GPT 5.6 Sol Web Search API on Flaq AI

Input: Natural-language research questions with optional supported images, files, and conversation context.
Output: Current, search-grounded answers and summaries generated through Flaq AI's web-enabled chat workflow.
Route Configuration: Designed for search-enabled research, current-information lookup, and contextual follow-up.
Configuration: Use supported context and output-length controls to guide the scope and depth of each response.
Capabilities: Current information lookup, market research, fact checking, competitive analysis, and complex web synthesis through OpenAI API integration.

Best Use Cases for GPT 5.6 Sol Web Search API Integration

Deep Market Intelligence: Investigate industries, competitors, product changes, and public business developments across multiple sources.
Technical & Scientific Research: Explore current publications, technical updates, and specialized topics with advanced synthesis.
Current Event Analysis: Build detailed summaries of news, policy changes, and evolving public developments.
Fact Checking & Due Diligence: Compare public evidence, validate claims, and reduce stale-information risk in professional workflows.
Strategic Content Research: Develop informed briefs and content plans from current search context and cross-source analysis.

Note Please ensure your prompts, uploaded inputs, and application workflows comply with OpenAI's safety and usage guidelines. If an error occurs, review the inputs for restricted content, simplify the request, and try again.

GPT 5.6 Sol Web Search vs Competitors: Comparative Analysis

GPT 5.6 Sol vs. GPT 5.6 Terra
GPT 5.6 Terra provides a balanced lower-cost option for everyday search workflows. GPT 5.6 Sol is positioned for demanding research tasks that benefit from the flagship model's reasoning depth.
GPT 5.6 Sol vs. GPT 5.6 Luna
GPT 5.6 Luna emphasizes fast and efficient web research at scale. GPT 5.6 Sol is better suited to complex investigations and multi-source synthesis where depth is the priority.
GPT 5.6 Sol vs. GPT 5.5 Web Search
GPT 5.5 supports reliable search-grounded professional workflows. GPT 5.6 Sol brings the flagship GPT-5.6 tier to current-information research on Flaq AI.
GPT 5.6 Sol vs. Claude Search Workflows
Claude models provide careful research and synthesis in the Anthropic ecosystem. GPT 5.6 Sol offers an OpenAI-native flagship route for advanced web-grounded analysis.
GPT 5.6 Sol vs. Gemini Search Workflows
Gemini search experiences integrate naturally with Google's ecosystem. GPT 5.6 Sol is a strong choice for teams that prioritize advanced GPT reasoning and OpenAI-style API integration.