Qwen3-ASR-0.6B
by Qwen
Ultra-fast 0.6B ASR model supporting 52 languages with 92ms time-to-first-token
Qwen/Qwen3-ASR-0.6Bmixpeek://transcription@v1/qwen3_asr_06b_v1Overview
Qwen3-ASR-0.6B is a compact automatic speech recognition model supporting 52 languages and dialects. It achieves 92ms average time-to-first-token, making it suitable for real-time transcription. At high concurrency (128), it can process 2000 seconds of speech per second, making it one of the fastest open ASR models available.
Architecture
Encoder-decoder architecture with a Conformer-based audio encoder and a Qwen3 0.6B decoder. The audio encoder processes mel-spectrogram features through conformer blocks with relative positional encoding, while the decoder generates text tokens autoregressively with cross-attention to encoder states.
Mixpeek SDK Integration
import { Mixpeek } from "mixpeek";
const mx = new Mixpeek({ apiKey: "API_KEY" });
// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
namespace_id: "my-namespace",
collection_name: "my-collection",
source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
feature_extractor: {
feature_extractor_name: "s3",
version: "v1",
parameters: { model_id: "mixpeek://transcription@v1/qwen3_asr_06b_v1" },
},
});Capabilities
- Multilingual ASR (52 languages)
- Real-time streaming transcription
- High-concurrency batch processing
- Low-latency first-token generation
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| LibriSpeech (test-clean) | WER | 2.8 | Model card |
| CommonVoice (en) | WER | 8.1 | Model card |
Performance
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Specification
Research Paper
Model paper or technical report
arxiv.orgBuild a pipeline with Qwen3-ASR-0.6B
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