Anthropic/claude-sonnet-5-text-to-text

claude-sonnet-5-text-to-text

Free to try Claude Sonnet 5 API for advanced Anthropic reasoning, coding, writing, and agentic workflows through stable Flaq AI production access.

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claude-sonnet-5-text-to-texttext-to-text

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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: 'claude-sonnet-5-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Write a four-line modern poem about a programmer drinking coffee.'
      }
    ],
    stream: true,
    max_tokens: 500,
    top_p: 0.5,
    top_k: 50
  })
});

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': 'claude-sonnet-5-text-to-text',
        'messages': [
            {
                'role': 'user',
                'content': 'Write a four-line modern poem about a programmer drinking coffee.',
            }
        ],
        'stream': True,
        'max_tokens': 500,
        'top_p': 0.5,
        'top_k': 50,
    },
    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": "claude-sonnet-5-text-to-text",
    "messages": [
      {
        "role": "user",
        "content": "Write a four-line modern poem about a programmer drinking coffee."
      }
    ],
    "stream": true,
    "max_tokens": 500,
    "top_p": 0.5,
    "top_k": 50
  }'

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Claude Sonnet 5 Text to Text Pricing

Parameters	Price	Original Price	Discount

Token: input	$1.8000 per 1M input tokens	$2.0000 per 1M input tokens	90%
Token: output	$9.0000 per 1M output tokens	$10.0000 per 1M output tokens	90%

README

Fast & Affordable Claude Sonnet 5 Text-to-Text API (Anthropic's Advanced Sonnet Model)

Claude Sonnet 5 Text-to-Text API on Flaq AI gives developers access to Anthropic's most agentic Sonnet model for reasoning, coding, writing, and knowledge work. This production-ready Claude API integration combines stronger task execution with the speed and cost profile of the Sonnet family, making it a practical choice for applications that need dependable intelligence at scale. With text-only input, multi-turn context, streaming responses, and flexible generation controls, teams can build capable AI experiences without managing model infrastructure or provider-specific integration details.

Key Features of Claude Sonnet 5 Text-to-Text API

Advanced Reasoning and Task Execution: Work through multi-step instructions, complex questions, and structured knowledge tasks with stronger follow-through than earlier Sonnet models.
Production-Ready Coding Support: Generate, explain, review, and debug code for software development workflows that require technical grounding and sustained reasoning.
Reliable Instruction Following: Turn detailed prompts into focused responses while preserving requested tone, structure, constraints, and output goals.
Multi-Turn Conversation Context: Carry relevant information across conversational messages for iterative writing, analysis, planning, and problem-solving workflows.
Flexible Generation Controls: Adjust supported output and sampling settings to balance response length, consistency, and variation for different application needs.
Streaming API Responses: Deliver text progressively through a stable chat completion workflow for responsive product experiences and production applications.

How to Use Claude Sonnet 5 Text-to-Text API on Flaq AI

Input: Natural-language prompts, system instructions, conversation history, and structured text requirements.
Output: High-quality text responses returned through streaming or standard chat completion workflows.
Configuration: Use supported context, output length, and sampling controls to guide response behavior for each task.
Capabilities: Complex reasoning, code generation and analysis, professional writing, summarization, multilingual content, and structured knowledge work through Claude API integration.

Best Use Cases for Claude Sonnet 5 Text-to-Text API Integration

Software Development: Build coding assistants for implementation planning, code generation, debugging, review, and technical documentation.
Knowledge Work Automation: Produce research summaries, decision briefs, comparisons, and structured analysis for complex professional workflows.
Business Writing: Draft reports, proposals, emails, product documents, and other content with clear organization and consistent tone.
Customer Support Assistants: Create conversational experiences that follow policies, maintain context, and provide useful, well-structured answers.
Content and Localization Workflows: Generate, revise, summarize, and adapt multilingual content while preserving meaning and formatting requirements.

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

Claude Sonnet 5 vs Competitors: Comparative Analysis

Claude Sonnet 5 vs. Claude Sonnet 4.6
Claude Sonnet 4.6 provides a balanced foundation for reasoning, coding, and production text tasks. Claude Sonnet 5 advances the Sonnet line with stronger agentic performance, task completion, coding, and knowledge work for more demanding workflows.
Claude Sonnet 5 vs. Claude Opus 4.8
Claude Opus 4.8 is positioned for workloads that prioritize Anthropic's highest capability tier. Claude Sonnet 5 offers a Sonnet-class alternative with performance approaching Opus on some tasks while preserving a more accessible cost-performance balance.
Claude Sonnet 5 vs. GPT 5.5
GPT 5.5 supports advanced OpenAI reasoning and coding workflows. Claude Sonnet 5 is a strong alternative for teams that prefer Claude's instruction-following style, sustained task execution, and Anthropic ecosystem.
Claude Sonnet 5 vs. Gemini 3.5 Flash
Gemini 3.5 Flash is designed around fast Google-model workflows and multimodal applications. Claude Sonnet 5 is suited to text-first applications that emphasize complex reasoning, coding, and reliable knowledge work.
Claude Sonnet 5 vs. DeepSeek V4
DeepSeek V4 provides another option for reasoning and developer workloads. Claude Sonnet 5 gives teams managed access to Anthropic's latest Sonnet capabilities through a production-oriented text API on Flaq AI.