This project is scheduled for launch
Launch date: Sunday, September 20, 2026 at 08:00 AM UTC

LLMWise is a powerful, unified API platform designed to simplify access and orchestration of over 38 large language models (LLMs) from 16 different providers. It eliminates the need for multiple subscriptions and API keys, offering a single interface for diverse AI capabilities. This platform is ideal for developers, AI engineers, and teams looking to build robust AI applications, compare model performance, optimize costs, and ensure reliability in distributed AI systems.
Prototyping & Development: Rapidly test and compare different LLMs without managing multiple integrations. Leverage free models for initial prototyping and benchmark against premium options to find the optimal solution.
Production Deployment & Optimization: Implement intelligent routing strategies (cost, latency, rate-limit) and robust failover mechanisms to ensure high availability and cost-efficiency in live applications, handling spikes and maintaining service uptime.
Quality Assurance & Evaluation: Utilize "Compare" and "Judge" modes to systematically evaluate model performance, identify the best-suited LLM, and continuously improve AI application quality.
LLMWise operates on a flexible, credit-based pay-per-use model with no monthly subscriptions. It offers a free tier including 20 non-expiring trial credits and access to 5 zero-charge models for long-term testing. Paid credit packs are available, with costs settled by actual token usage, selected model, and orchestration mode.
The platform provides a streamlined experience with a single dashboard and one API key. Integration is easy with official SDKs for Python and TypeScript, alongside cURL/REST API access. Comprehensive documentation and quickstart guides ensure a smooth onboarding process.
LLMWise uses a native API supporting the OpenAI-compatible role/content message format. It prioritizes enterprise-grade security with TLS 1.3 encryption, AES-encrypted storage for BYOK keys, and an optional zero-retention mode where prompts and responses are never stored. User data is not used for training by default.
LLMWise is an indispensable platform for developers and teams aiming to build more resilient, cost-effective, and intelligent AI applications by centralizing LLM access and providing powerful orchestration tools. Try LLMWise free today and revolutionize your AI development workflow.
Comments will be available once the project is launched.
Kelsie Prunty
Scraper Email for Product Hunt Daily leaderboard and peerlist, tinylaunch, uneed.
Everything you need to capture leads on websites, landing pages, and funnels — without wrestling with complex software.
A launch platform for builders —> Get discovered, get a backlink.