# New Model Available: Qwen: Qwen-Audio-3.1-ASR-Flash

> Source: <https://zenmux.ai/qwen/qwen-audio-3.1-asr-flash>
> Published: 2026-10-13 03:03:42+00:00

Qwen-Audio-3.1-ASR-Flash is a large-scale model supporting efficient short speech recognition, designed for high-quality, multilingual, and cultural content transcription scenarios. The model supports multilingual and multi-regional Chinese dialect recognition, and is optimized for the rhythm, cadence, and classical Chinese expression of ancient Chinese poetry. It features context enhancement, punctuation prediction, and text normalization capabilities. This version also supports controllable ASR/AST output for multiple dialects. It includes native transcription and polishing capabilities, as well as industrial-grade multi-person dialogue role-based transcription capabilities.

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## Providers

Route requests across multiple providers. Copy a provider slug to set your preference.

**$0.12**

*/ M tokens*

**$0.41**

*/ M tokens*

*Read:*

**-**/ M tokens

*Write:*

**-**/ M tokens1M--

## Uptime

24hours
Direct request success rate on AI Gateway and per-provider.

## Throughput

24hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

## Latency

24hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

## Activity

Token volume and request traffic to this model over time.

## Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced from[Artificial Analysis](https://artificialanalysis.ai/)

## Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for. [View All](https://zenmux.ai/analytics/apps)

## Related Models

More models from [Qwen](https://zenmux.ai/qwen)