Anthropic/claude-fable-5.1-text-to-text

claude-fable-5.1-text-to-text

Try Claude Fable 5.1 API by Anthropic for ambitious coding, complex reasoning, and demanding knowledge work through Flaq AI's stable, affordable LLM API.

Text Chat

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claude-fable-5.1-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-fable-5.1-text-to-text',
    messages: [
      {
        role: 'user',
        content: 'Draft a technical decision memo for this architecture choice.'
      }
    ],
    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': 'claude-fable-5.1-text-to-text',
        'messages': [
            {
                'role': 'user',
                'content': 'Draft a technical decision memo for this architecture choice.',
            }
        ],
        '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": "claude-fable-5.1-text-to-text",
    "messages": [
      {
        "role": "user",
        "content": "Draft a technical decision memo for this architecture choice."
      }
    ],
    "stream": true,
    "max_tokens": 2048
  }'

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Claude Fable 5.1 Text to Text Pricing

Parameters	Price	Original Price	Discount

Token: input	$9.0000 per 1M input tokens	$10.0000 per 1M input tokens	90%
Token: output	$45.0000 per 1M output tokens	$50.0000 per 1M output tokens	90%

README

Advanced Coding Claude Fable 5.1 Text-to-Text API (Anthropic Complex Problem-Solving)

Claude Fable 5.1 Text-to-Text API brings Anthropic's current Fable-class model to ambitious coding, complex problem-solving, and deep knowledge work on Flaq AI. This text-to-text API integration helps developers and professional teams reason through hard language tasks from conversation messages alone. Claude Fable 5.1 is Anthropic's most capable Fable model for coding and knowledge work; Flaq AI provides stable, cost-effective chat access.

Key Features of Claude Fable 5.1 Text-to-Text API

Advanced Coding Assistance: Work through features, reviews, debugging notes, and implementation plans that need careful reasoning over textual code context.
Complex Problem-Solving: Stay with difficult, multi-step questions instead of stopping at a shallow first answer.
Deep Knowledge Work: Draft, restructure, and pressure-test professional writing, analysis, and domain explanations.
Instruction-Faithful Text Generation: Preserve requested format, constraints, and review criteria across long, detailed prompts.
Conversation Continuity: Carry the working problem across follow-up messages so teams can correct course without restating everything.
Production Claude Integration: Connect Claude Fable 5.1 to apps and internal tools through a consistent, affordable Flaq AI API.

How to Use Claude Fable 5.1 Text-to-Text API for Complex Problem-Solving on Flaq AI

Input: Conversation messages and natural-language instructions.
Output: Text responses for coding help, analysis, knowledge work, and structured problem-solving.
Output Length: Control the maximum output token count for short answers or longer write-ups.
Streaming: Receive text incrementally through streaming responses.
Capabilities: Advanced coding assistance, complex problem-solving, and knowledge work through Claude Fable 5.1 Text-to-Text API integration.

Best Use Cases for Claude Fable 5.1 Text-to-Text API Integration

Codebase Reasoning from Text: Help engineers explain failures, review patches, and plan refactors when the relevant code is supplied in messages.
Root-Cause Write-Ups: Trace a difficult bug or design flaw from logs, diffs, and narrative context into a clear technical explanation.
Knowledge Work Drafting: Produce research memos, decision records, and expert-facing documents that need careful structure.
Multi-Step Problem Solving: Break quantitative, scientific, or operational problems into inspectable reasoning and recommended next steps.
Engineering Copilots: Power chat experiences that iterate on a hard coding or writing task without leaving the text-to-text route.

Note Keep prompts within Anthropic usage policies and Flaq AI terms. If a request fails, remove restricted content, narrow the task, and try again.

Claude Fable 5.1 Text-to-Text vs Competitors: Comparative Analysis

Claude Fable 5.1 vs. Claude Fable 5
Claude Fable 5 is the previous Fable generation and remains a solid Anthropic text model. Claude Fable 5.1 is the current Fable-class choice for harder coding, deeper knowledge work, and more demanding problem-solving.
Claude Fable 5.1 vs. GPT 6 Astra
GPT 6 Astra is OpenAI's current flagship for complex reasoning and software engineering. Claude Fable 5.1 Text-to-Text API is the Anthropic route for the same class of ambitious language work, so selection usually follows your Claude versus GPT evaluation and existing stack.
Claude Fable 5.1 vs. Claude Opus 5
Claude Opus 5 is a strong general Anthropic option for many production text workloads. Claude Fable 5.1 is the better Flaq AI fit when the task sits at the Fable tier: frontier coding difficulty, dense knowledge work, or problems that need extra reasoning depth.
Claude Fable 5.1 vs. GPT 5.6 Sol
GPT 5.6 Sol is the previous OpenAI flagship text model on Flaq AI. Claude Fable 5.1 offers a current Anthropic alternative for teams that want Fable-class coding and knowledge work rather than the prior GPT-5.6 generation.