Inworld AI announced that Meta's reasoning and coding model Muse Spark 1.3 is now live on Inworld Realtime Router, with closed weights, support for a 1M token context, and pricing of $1.25 per 1M input tokens and $4.25 per 1M output tokens. According to its disclosure, in Meta's internal coding tests, this version uses about 25% fewer tokens than Spark 1.2.
GPT-6.1 Sol is now live on Inworld Realtime Router. - OpenAI's upgraded Sol tier - According to OpenAI, intelligence approaching Astra at one-fifth the price - 1M token context, 128K output - $2.00 per 1M input tokens / $10.00 per 1M output tokens. At provider rates, no markup. Just swap the model string and use it directly!
Inworld AI has open-sourced the TTS Open Evaluation Toolkit, a customizable TTS evaluation framework for sampling TTS systems, evaluating audio offline and generating comparable reports.
Why it matters: The post explains why the same TTS model can produce different WER in different teams' hands, and covers how to run this evaluation tool and its first set of metrics.
Inworld introduces @mastra/voice-inworld-realtime, which merges STT, LLM and realtime TTS into a single WebSocket session bound to a Mastra Agent.
Why it matters: The post contrasts cascaded voice pipelines with a single WebSocket session and provides a reference CLI in under 100 lines of TypeScript, which readers can use to judge the integration cost.