LongCat API Platform Launched: Developers Receive 100,000 Free Tokens Daily
Summary: LongCat API Platform has been officially launched, giving away 100,000 free tokens per day to developers, supporting OpenAI API and Anthropic API dual format compatibility. For AI developers and teams, this is an important channel for quickly building, validating, and deploying AI applications.
1. Core highlights of LongCat API
1. Dual-format compatibility (AI, ChatGPT, Claude).
LongCat offers both OpenAI API and Anthropic API calls, meaning that existing projects based on ChatGPT or Claude can be migrated smoothly and directly. Developers can quickly run large model services without major changes to the SDK and interface logic, achieving automated and intelligent deployment.
2. Free quota is suitable for prototyping and testing (AI tools, automation)
100,000 free tokens per day is enough to cover small and medium-sized experiments, such as dozens of rounds of in-depth conversations or hundreds of light calls, suitable for AI tool developers to conduct grayscale testing and function verification. In scenarios such as content generation, RAG retrieval Q&A, and intelligent customer service, you can get started at low cost.
(1) Content generation
Generate marketing copy, code comments, and short video scripts in batches with the help of large models to improve automation efficiency.
(2) Intelligent Q&A
Combines with the knowledge base to implement RAG (Retrieval-Augmented Generation) to help users inside and outside the enterprise quickly obtain answers.
(3) AI agents and automated processes
The large model calls external tools to perform tasks, supporting automatic ordering, data query, report generation and other services.
2. Quick Access and Migration Guide
1. Access steps (AI, ChatGPT, Claude, large model)
Developers only need to take three steps: generate a key, select the call format, and replace the underlying address and model name. Existing SDKs based on ChatGPT or Claude will run directly without complex modifications.
2. Migration control (machine learning and engineering optimization)
Focus on function call schema, context length, and streaming output segmentation format, combined with automated retry policies and token usage monitoring to ensure the stability of the migrated system.
(1) Performance and cost management
Estimate daily consumption based on the "number of requests × average tokens", the free quota is suitable for R&D and testing, and the limit and cache can be set when officially launched.
(2) Security and compliance
Conversation logs need to be desensitized to avoid sensitive data leakage. At the same time, a whitelist mechanism is added when AI tools are called.
(3) Underlying model support
The LongCat team released LongCat-Flash-Chat based on Mixture-of-Experts, which greatly improves inference throughput and proxy capabilities, and provides a solid technical foundation for the platform.
3. Frequently
Asked Questions (Q&A)
https://longcat.chat/platform/
Official Website Q: LongCat API and OpenAI API, How compatible is the Anthropic API?
A: The platform is fully compatible with both formats, and developers can directly replace the base address in the ChatGPT or Claude project to run it.
Q: What scale of AI applications can 100,000 free tokens per day support?
A: Enough to support 50–100 rounds of deep conversations or hundreds of light calls, suitable for prototyping, grayscale testing, and small-scale go-live.
Q: What should I look for when migrating from ChatGPT/Claude to LongCat?
A: You need to align the function call schema, system prompt length, stream segmentation method, and set up automatic current limiting and retry mechanisms.
Q: What are the future trends in AI platforms?
A: Multi-format compatibility and multi-model orchestration will become mainstream, and AI tools will emphasize the integration of intelligent agents, RAG nativeization, and automation.
