Launch HN: Tokenless (YC S26) – Automatic model switching to save money
9 hours ago
- Tokenless reduces inference costs by routing requests to the most suitable model, canceling unnecessary ones to halve costs.
- The service maintains output quality comparable to top models (e.g., Opus 4.8) while significantly lowering cost per task.
- It offers drop-in compatibility with OpenAI/Anthropic APIs and provides model options like PRO, GPT 5.5, Opus 4.8, and MAX for different quality/savings balances.
- Benchmark data shows PRO achieves 72% task completion at $0.32/task, saving up to 57% over GPT 5.5.
- MAX mode prioritizes maximum quality by routing tasks to the best available model.
- The platform is built by AI researchers from leading institutions and backed by Y Combinator.