Streaming speech-to-text
The model catalog lists Qwen3-ASR-1.7B as a streaming speech-to-text model for realtime voice workloads.
Autoloops provides speech infrastructure for voice agents, combining streaming speech-to-text with realtime serving for open-weight language models. It offers serverless APIs and on-demand clusters for teams building or testing realtime voice and agent workloads.
Autoloops is speech infrastructure for voice-agent workloads. Its site positions the product around streaming speech-to-text and realtime access to open-weight models, including Gemma and Qwen, through serverless APIs and on-demand clusters. It is designed for systems where response latency and consistency affect live human–machine interaction.
The platform exposes a model catalog and API workflow for voice and agent workloads. The catalog includes the streaming speech-to-text model Qwen3-ASR-1.7B alongside language and vision-language models. Autoloops also documents an OpenAI-compatible endpoint for serving selected models; its Cekura case study describes Gemma 4 26B-A4B served through the Hanoi inference engine for voice-call-shaped workloads.
A console provides project setup and management of API keys, usage, and credits. New accounts receive $1.00 of free credit, and the site states that an API key is created only after the user makes one.
The model catalog lists Qwen3-ASR-1.7B as a streaming speech-to-text model for realtime voice workloads.
Autoloops lists open-weight models from the Gemma and Qwen families, including language, vision-language, text-and-image, and speech-to-text entries.
The homepage presents both serverless API access and on-demand clusters as deployment options for open-source model inference.
The Cekura case study describes a drop-in OpenAI-compatible API endpoint for Gemma 4 26B-A4B.
Hanoi is described as an inference engine specialized for voice-call workloads, with a focus on time-to-first-token under concurrency. The documented implementation uses custom tokenization, weight formatting, kernels, scheduling, and an HTTP server.
The console lets users manage API keys, usage, and credits. New accounts receive a project and $1.00 of free credit, with no API key created until the user makes one.
Use streaming speech-to-text and served open-weight models as components in voice-agent systems that need responses during a live conversation.
Voice-agent testing platforms can run repeated simulations and adversarial turns against a selected model, where delayed or failed inference would affect test results.
Teams can compare model-serving options using voice-shaped traffic and latency measurements such as p50, p95, and p99 rather than relying only on median performance.
Organizations operating voice agents can use model infrastructure in workflows that track production drift and investigate failures across agent stacks.
Autoloops provides speech infrastructure for voice agents, including streaming speech-to-text and realtime serving for open-weight models through APIs and infrastructure options.
The catalog lists Gemma 4 31B IT, Gemma 4 26B A4B IT, Qwen3.8-27B, Jev Gemma 4 31B, and Qwen3-ASR-1.7B. The catalog identifies Qwen3-ASR-1.7B as a streaming speech-to-text model.
Create an account and use the console to manage a project, credits, usage, and API keys. The pricing page states that new accounts receive $1.00 of free credit and that no API key is created until the user makes one.
The Cekura case study says Autoloops provided a drop-in OpenAI-compatible API endpoint for Gemma 4 26B-A4B. Compatibility for every model or endpoint is not established by the available source.
The homepage mentions serverless APIs and on-demand clusters. The case study also refers to serverless or VPC deployments for open models, but the available source does not specify the full deployment configuration or limits.
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