Speko, a startup from Y Combinator's S26 batch, has launched its platform designed to serve as an OpenRouter for Voice AI. The service focuses on providing comparative benchmarks for various speech-to-text (STT) models available in the market.
The core offering of Speko is its benchmarking system, which evaluates STT models based on two key metrics: accuracy, measured by Word Error Rate (WER), and cost per minute. The platform lists numerous models, including Universal-3.5 Pro, GPT-4o Transcribe, GPT-4o-mini Transcribe, Qwen3-ASR, and Realtime STT-1, among others, detailing their performance and pricing.
Speko is designed to be compatible with the OpenAI API, allowing existing frameworks to integrate the service by simply updating the hostname and model string. This facilitates the use of Speko's optimized STT, LLM, and TTS models within voice agent applications, streamlining the process of selecting and deploying voice AI components.
By offering a centralized platform for comparing STT models on both performance and cost, Speko aims to simplify the decision-making process for developers working with voice AI. This approach could help developers choose the most suitable model for their specific application requirements, potentially optimizing both efficiency and expenditure in voice AI projects.
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Speko, a Y Combinator S26 startup, has launched a platform that acts as an OpenRouter for Voice AI, providing benchmarks for various speech-to-text (STT) models. The platform allows users to compare STT models based on accuracy (Word Error Rate) and cost, and integrates with the OpenAI API for voice agents.