Qwen3-ASR
High-accuracy ASR with flexible contextual biasing
Qwen3-ASR launched on September 9, 2025 with 9 votes, #1,272 of 8,160 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Qwen3-ASR is a new high-accuracy speech recognition model. It supports 11 languages, excels at transcribing songs with background music, and features a unique contextual biasing system that accepts any text format to improve accuracy on specific terms.
Qwen Studio offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
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Qwen3.5 SmallMar 2026 · huggingface.co · ▲3550.8B-9B native multimodal w/ more intelligence, less compute
Omnilingual ASRNov 2025 · ai.meta.com · ▲132Advancing automatic speech recognition for 1,600+ languages
Qwen-2.5-32B is now the best open source OCR model2025 · github.com · ▲211Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…
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