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# Argmax gets Qwen3-ASR running inside the iPhone, with speech transcribed on the device
- URL: https://globalfeed.ai/en/argmax-gets-qwen3-asr-running-inside-the-iphone-with-speech-transcribed-on-the-device/
- Published: 2026-08-28T02:39:10.000Z
- Updated: 2026-08-29T21:55:35.000Z
- Description: Pro SDK 3 has reached a stable release. The multilingual recognition model runs on the phone rather than a server, and the company has opened a TestFlight app for trying it without writing code.
- Author: GlobalFeed Editor
- Tags: Argmax, on-device AI, speech recognition, iOS, x-argmax, dil-en, elle

Argmax, which builds AI infrastructure for Apple hardware, has shipped the stable release of Pro SDK 3 (3.0.6). The central claim is that multilingual speech recognition now runs on the iPhone's own silicon.

The model is **Qwen3-ASR-1.7b**, the 1.7-billion-parameter version of Alibaba's open speech recognition model, which Argmax has ported to Apple Silicon and packaged into the SDK. Audio does not leave for a server; the work finishes on the phone. That matters for privacy, and equally for working without a connection: on a plane, in a tunnel, out of coverage, it behaves the same.

The SDK's real-time API provides custom vocabulary and word-level timestamps. Custom vocabulary can be changed at runtime, which means a meeting app can teach it participants' names, or a clinical app drug names, while someone is still speaking. The company gives a lips-to-screen latency figure of 160 milliseconds; that measurement is Argmax's own.

Trying it requires no code: the Argmax Playground app opens on iPhone and Mac through TestFlight.

Details are on the [Argmax blog](https://www.argmaxinc.com/blog?ref=globalfeed.ai), with the open-source side [on GitHub](https://github.com/argmaxinc/argmax-oss-swift?ref=globalfeed.ai).