Claude Fable 5
Claude Fable 5 is a next-generation high-performance AI model designed for advanced reasoning, coding, and agent-based workflows. It delivers strong performance across complex tasks while maintaining optimized speed and cost efficiency, making it suitable for production-scale AI applications and real-time systems.
Automatically append previous messages to maintain multi-turn context. May increase token usage.
System messages provide context and instructions that guide the AI's behavior throughout the conversation
Controls randomness: 0 = focused, 2 = creative
Maximum response length
Maximum completion tokens (takes precedence over max_tokens)
Nucleus sampling: 0.1 = focused, 1.0 = diverse
Penalizes frequent tokens: -2.0 to 2.0
Penalizes repeated tokens: -2.0 to 2.0
Display AI reasoning processes when available
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| Model & Modality | Credits / Gen | Our Price (USD) | Official Price (USD) | DISCOUNT |
|---|---|---|---|---|
claude-fable-5, Input chatAnthropic | 2016 per million tokens | $9 | $10 | - 10% |
claude-fable-5, Output chatAnthropic | 10080 per million tokens | $45 | $50 | - 10% |
Shift from chat to long-running workflows. Claude Fable 5 navigates complex codebases, self-verifies outputs, and handles long-horizon tasks autonomously. Built for production-grade agentic AI.
Moving beyond simple text generation, Claude Fable 5 introduces an enterprise-grade reasoning engine designed to manage complex, long-duration tasks with zero human oversight.
Fable 5 doesn’t rush into answers. It dynamically allocates its "thinking time," formulating hypotheses, questioning its own logic, and mapping out strategies before executing complex workflows.
Built-in code compilation and error-trapping capabilities. It tests its own outputs, catches bugs in a simulated environment, and auto-corrects before final deployment.
Engineered with state-retention architecture, Fable 5 can run complex software migrations, research, or operations continuously for days without losing context or fading out.
Upload your entire legacy repository, dense regulatory frameworks, or massive financial statements. Analyze interconnected dependencies in a single, comprehensive prompt.
Flawlessly interacts with databases, web browsers, APIs, and custom enterprise sandboxes. Fable 5 orchestrates external tools with near-zero syntax errors.
Your proprietary data remains yours. Fully compliant with GDPR and SOC 2 Type II, ensuring your enterprise source code and private telemetry are never used for base training.
From massive codebase modernizations to continuous automated research, see how leading engineering teams are putting Claude Fable 5 to work.
Stop spending months migrating outdated frameworks manually. Hand over your multi-million line legacy repositories to Fable 5. It mapping dependencies, rewrites the code to modern standards (e.g., COBOL to Java, or Python upgrade), runs local test suites, and fixes its own compiling errors until it's deployment-ready.

Deploy agents that can handle complex, multi-step operations that traditional RPA or simple LLMs fail at. Fable 5 can continuously monitor market telemetries, orchestrate cross-department supplier communications, investigate multi-layered supply chain anomalies, and deliver end-to-end operational results without fading out or losing track.

Drop thousands of pages of dense financial filings, evolving cross-border tax codes, or legal compliance frameworks into the 1M token window. Fable 5 doesn’t just summarize; it actively cross-references inconsistencies, flags hidden compliance risks, and generates investor-ready audit reports with transparent, verifiable citations.

Benchmark scores don't ship production code. When evaluating LLMs for true enterprise autonomy, the question isn't just "how fast can it reply," but "can it self-correct over a 3-day development cycle?" See how Claude Fable 5 stacks up against the market's leading models in raw engineering endurance.
| Feature / Dimension | Claude Fable 5 | OpenAI GPT-5.5 | Google Gemini 3.1 Pro |
|---|---|---|---|
Core Architecture | Long-Horizon Agentic Engine | Multi-Agent Orchestration | Native Multi-Modal / High-Speed |
Cognitive Thinking | Adaptive (Dynamically allocates reasoning time per budget) | Scheduled (Fixed reasoning tokens per pass) | Linear (Standard fast-token output) |
Max Autonomous Lifespan | Multi-Day Runs (Maintains state and context over days) | Session-Based (Prone to drift after hours of runtime) | Task-Based (Optimized for single-session batch jobs) |
Code Reliability | Proactive Self-Verification (Auto-compiles & tests in sandbox) | Reactive Debugging (Relies on user feedback loops) | Static Correction (Excellent syntax, lacks active runtime test) |
Context Processing | 1M Tokens (Default) (Highly dense cross-references) | 512K Tokens (Balanced throughput) | 2M Tokens (Industry-leading raw volume) |
Enterprise Best For... | Legacy Code Migration & Fully Autonomous Workers | Real-Time Consumer Apps & Advanced Tool Interactivity | Massive Document Ingestion & High-Volume Data Analysis |