Anthropic: Claude Fable 5.1在线

Claude Fable 5.1 is an advanced Claude AI model developed by Anthropic for demanding reasoning, coding, knowledge work, scientific research, and long-running agentic workflows. Released on September 1, 2026, it succeeds Claude Fable 5 with stronger performance on complex tasks and lower cache-read costs. On 开桥, the model is available under the model ID anthropic/claude-fable-5.1.

Claude Fable 5.1 is one of Anthropic’s most capable generally available models. Anthropic recommends it for demanding reasoning and long-horizon agentic work, particularly when other Claude models do not meet the required performance level. It is designed for difficult, multistep problems rather than simple, high-volume requests. Developers evaluating other advanced Claude models can also review Claude Opus 5 on 开桥.

Claude Fable 5.1 is best suited to complex applications that require sustained reasoning, tool use, iteration, and verification. Common use cases include:

• Software engineering and codebase analysis
• Debugging, code review, and incident investigation
• AI agents and workflow automation
• Multistep research and data analysis
• Document drafting and content editing
• Financial, legal, and scientific knowledge work
• Browser and computer-use workflows

The best model still depends on workload complexity, latency requirements, and budget.

4. How good is Claude Fable 5.1 for coding and software engineering?

Claude Fable 5.1 is designed for long-running agentic coding and complex software engineering. It can analyze large codebases, trace bugs across multiple services, review source code, plan changes, generate patches, and verify its work with developer-provided tools. Anthropic reports stronger results than Claude Fable 5 across agentic coding and terminal-based evaluations, although benchmark results should not be treated as a guarantee for every codebase.

Yes. Claude Fable 5.1 can support content drafting, editing, document analysis, contract redlining, research synthesis, reports, spreadsheets, and presentations. It is especially useful when a workflow involves large amounts of source material or requires multiple rounds of analysis and revision. AI-generated content should still be reviewed when factual accuracy, compliance, or brand consistency matters.

Claude Fable 5.1 supports a 1M-token context window and up to 128K output tokens. This allows it to work with large documents, extensive conversation histories, research collections, and large software repositories. The advertised context limit describes capacity; retrieval accuracy and output quality can still vary with prompt structure and workload complexity.

Yes. Claude Fable 5.1 accepts text and image inputs and produces text output. It also supports vision, tool use, and always-on adaptive thinking with effort-based control. These capabilities make it suitable for applications that combine visual information, reasoning, API tools, and multistep decision-making.

Developers should note that forced tool_choice values of any and tool are not supported for this model. Use auto, none, strict tool use, or structured outputs as appropriate.

The currently listed 开桥 price is $10 per million input tokens and $50 per million output tokens. Cache reads cost $0.25 per million tokens. Cache writes are listed at $12.50 per million tokens for the five-minute option and $20 per million tokens for the one-hour option.

Pricing and route availability may change, so check 开桥 Claude Fable 5.1 model before deploying a production workload.

Create a 开桥 API key, follow the 开桥 API documentation to configure your integration, use the OpenAI-compatible base URL https://openqiao.com/api/v1, and set the model field to anthropic/claude-fable-5.1. 开桥 provides unified access through one API and displays current pricing, provider availability, latency, throughput, cache performance, and uptime on the model page.