Inworld launched Inworld Inference, an LLM inference API built for consumer AI apps, serving open mo

Inworld launched Inworld Inference, an LLM inference API built for consumer AI apps, serving open models including Gemma 4, GLM, DeepSeek, and MiMo.

> Inworld optimizes how each model runs to deliver faster responses for tutors, companions, games, and other consumer apps.

> On Gemma 4 26B, median time to first token is 0.17 seconds, compared with 0.61 seconds for the median of the other providers on OpenRouter - 3.6× faster.

> At the 95th percentile, time to first token is 0.31 seconds versus 2.42 seconds for the median of those providers - 7.8× faster.

> Developers can also set requests to switch automatically to a fallback model if the first model fails or takes too long.

Gemma 4 26B costs $0.07 per million input tokens - nearly 40% below the median among the compared providers offering the same model that don't train on customer data.

Developers can choose a service tier for each request, prioritizing live replies while spending less on tasks that can wait.

Try hosted models in the playground 👀
https://platform.inworld.ai
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