anthropic/claude-fable-5
Date de publication: 2026-06-09
1,000,000 context · $10.00/M input tokens · $50.00/M output tokens
Claude Fable 5 is Anthropic’s generally available Mythos-class model for autonomous knowledge work, advanced reasoning, and long-horizon coding. It supports text, image, and file inputs with text output, a 1M-token context window, up to 128K output tokens, always-on adaptive thinking, tool use, and structured outputs. Built from the same underlying model family as Claude Mythos 5 with stronger public-release safeguards, it is suited for complex software engineering, multi-step agent workflows, enterprise research, document analysis, and professional tasks that require sustained reasoning and reliability.
Tarification
Paiement à l'usage
Aucun coût initial, payez uniquement ce que vous utilisez
Essayer le modèle
Utilisation de l'API
Utilisez les exemples de code suivants pour intégrer notre API :
import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'anthropic/claude-fable-5',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}import OpenAI from 'openai';
if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
apiKey: process.env.WAVESPEED_API_KEY,
baseURL: 'https://llm.wavespeed.ai/v1',
timeout: 120_000,
maxRetries: 2,
});
try {
const response = await client.chat.completions.create({
model: 'anthropic/claude-fable-5',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}Introduction au modèle
Anthropic: Claude Fable 5
Claude Fable 5 is Anthropic’s generally available Mythos-class model for autonomous knowledge work, advanced reasoning, and long-horizon coding. It supports text, image, and file inputs with text output, a 1M-token context window, always-on adaptive thinking, tool use, and structured outputs.
Why It Looks Great
- Anthropic’s most capable widely released model for demanding reasoning and long-horizon agentic work
- Mythos-class capability made generally available with robust public-release safeguards
- 1M-token context window for large codebases, long documents, research corpora, and extended multi-turn workflows
- Up to 128K output tokens for long-form reasoning, coding, analysis, and structured generation
- Strong fit for autonomous software engineering, enterprise knowledge work, scientific analysis, and complex planning
- Vision and file input support for screenshots, diagrams, PDFs, documents, and multimodal analysis
- Always-on adaptive thinking for deeper reasoning without manual thinking-mode configuration
- Function calling and tool-use support for agentic application workflows
- Structured output support for JSON responses and schema-constrained generation
Key Features
- Context Window: 1,000,000 tokens
- Max Input: 872,000 tokens
- Max Output: 128,000 tokens
- Input: Text, Image, File
- Output: Text
- Vision: Supported
- File Input: Supported
- Function Calling: Supported
- Structured Outputs: Supported
- Adaptive Thinking: Supported, always on
- Image Generation: Not listed
- Audio Input: Not listed
- Supported Parameters: include_reasoning, max_completion_tokens, max_tokens, reasoning, response_format, stop, structured_outputs, tool_choice, tools, verbosity
Specifications
| Specification | Value |
|---|---|
| Provider | anthropic |
| Model Type | Chat Completions model |
| Model Class | Mythos |
| Architecture | text+image+file->text |
| Context Window | 1,000,000 tokens |
| Max Input | 872,000 tokens |
| Max Output | 128,000 tokens |
| Input | Text, Image, File |
| Output | Text |
| Vision | Supported |
| File Input | Supported |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Adaptive Thinking | Supported, always on |
| Release | June 9, 2026 |
How to Use
- Write your prompt - describe the task, provide context, and specify the desired output format.
- Submit - the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1
API Endpoint: chat/completions
Model ID: anthropic/claude-fable-5
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="anthropic/claude-fable-5",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "anthropic/claude-fable-5",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: anthropic/claude-fable-5
- Provider: anthropic
- Best suited for autonomous knowledge work, long-horizon coding, complex reasoning, enterprise research, multimodal document analysis, and high-autonomy tool workflows
- Robust safeguards apply for high-risk domains; some sensitive requests may be refused or routed to a safer fallback model
Infos
Fonctionnalités prises en charge
Guide d'accès API
Claude Fable 5 API
anthropic/claude-fable-5
Claude Fable 5 is Anthropic’s generally available Mythos-class model for autonomous knowledge work, advanced reasoning, and long-horizon coding. It supports text, image, and file inputs with text output, a 1M-token context window, up to 128K output tokens, always-on adaptive thinking, tool use, and structured outputs. Built from the same underlying model family as Claude Mythos 5 with stronger public-release safeguards, it is suited for complex software engineering, multi-step agent workflows, enterprise research, document analysis, and professional tasks that require sustained reasoning and reliability.
Entrée
$10 /M
Sortie
$50 /M
Contexte
1000K
Sortie max.
128K
Vision
Pris en charge
Utilisation d'outils
Pris en charge
Essayez Claude Fable 5 sur WaveSpeedAI
Accédez à Claude Fable 5 via notre API unifiée — compatible OpenAI, sans démarrages à froid, prix transparents.
Questions fréquentes sur Claude Fable 5
Combien coûte l'API Claude Fable 5 ?+
Tarification sur WaveSpeedAI : $10.00 par million de tokens d'entrée et $50.00 par million de tokens de sortie. Le prompt caching et le traitement par batch sont facturés séparément et réduisent le coût effectif sur les charges longues et répétitives.
Quelle est la fenêtre de contexte de Claude Fable 5 ?+
Claude Fable 5 prend en charge jusqu'à 1000K tokens de contexte et jusqu'à 128K tokens de sortie par requête.
Claude Fable 5 est-il compatible avec OpenAI ?+
WaveSpeedAI expose Claude Fable 5 à https://llm.wavespeed.ai/v1 via l’interface Chat Completions compatible OpenAI. La plupart des clients du SDK OpenAI fonctionnent en changeant l’URL de base et la clé API ; les champs facultatifs dépendent du modèle.
Comment démarrer avec Claude Fable 5 ?+
Connectez-vous à WaveSpeedAI, créez une clé API dans Access Keys, puis envoyez une requête à https://llm.wavespeed.ai/v1/chat/completions avec l’id du modèle affiché ci-dessus. Consultez le catalogue actuel pour la disponibilité, les capacités et les tarifs.