Introducing Qwen3-ASR-Flash: Top-Tier AI Transcription with Leaderboard-Leading Accuracy

Transcribe.so(Updated May 19, 2026)
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We've added a second transcription pipeline: Qwen3-ASR-Flash from Alibaba — ranked #4 of 80+ on the HuggingFace Open ASR Leaderboard with a 6.37% average Word Error Rate. It runs alongside our existing GPT-4o Transcribe Diarize pipeline.

Both pipelines include the same downstream AI analysis — sections, chapters, summaries, semantic search, and Q&A with citations. The difference is in the transcription step itself.

Why Two Pipelines?

Not every transcription job needs the same model. A 3-hour lecture by a single speaker has different needs than a 20-minute podcast with 4 guests.

  • GPT-4o Transcribe Diarize is the best choice when you need speaker identification (diarization).
  • Qwen3-ASR-Flash is the best choice for top-tier accuracy, long single-speaker audio, word-level timestamps, or Chinese dialect support.

Head-to-Head Comparison

FeatureGPT-4o DiarizeQwen3-ASR-Flash
ProviderOpenAIAlibaba (Qwen)
Speaker diarizationYesNo
Timestamp typeSegment-levelSentence + word-level (10 langs)
Languages5733 + 22 Chinese dialects
Max audio durationUnlimited (chunked)12 hours native
Emotion detectionNoYes
Plan pricingPay-as-you-go (premium model)Unlimited on every paid plan

Where the Cost Difference Comes From

The Qwen3 transcription API is priced lower than GPT-4o ($0.13/hr vs $1.80/hr). The rest of the pipeline (LLM processing, semantic search embeddings, and infrastructure) is shared between both pipelines.

ComponentGPT-4o PipelineQwen3 Pipeline
Transcription$1.80/hr$0.13/hr
LLM analysis$0.48/hr$0.48/hr
Embeddings$0.06/hr$0.06/hr
Infrastructure$1.00/hr$1.00/hr
Provider total$3.34/hr$1.67/hr

When to Use Each Pipeline

Choose GPT-4o Diarize when:

  • You have multiple speakers (meetings, interviews, podcasts). For podcast transcription best practices, see the podcast guide.
  • You need speaker labels in your transcript
  • Maximum transcription accuracy matters most
  • You're working in languages where GPT-4o excels

Choose Qwen3-ASR-Flash when:

  • You want leaderboard-leading accuracy (#4 of 80+ on HuggingFace Open ASR Leaderboard)
  • You have long recordings (lectures, webinars, audiobooks) — try chapters for long recordings
  • The audio has a single speaker or you don't need speaker labels
  • You need word-level timestamps for precise subtitle generation
  • You need Chinese dialect support (Cantonese, Sichuanese, and 20 more)
  • You want emotion detection in the transcript

Chinese Dialect Support

Qwen3-ASR-Flash stands out with support for 22 Chinese dialects including Cantonese, Sichuanese, Fujian, Henan, Hubei, and more — far beyond what most transcription services offer. If your content includes regional Chinese speech, this pipeline is a significant upgrade.

Same AI Analysis, Different Starting Point

Regardless of which pipeline you choose, every transcription gets the same enrichment:

  • Section detection using advanced NLP
  • Chapter generation with titles and summaries
  • Semantic search across your transcript
  • Q&A with citations that link to exact timestamps
  • AI summary with takeaways, quotes, and speaker profiles

How to Use It

  1. Go to Transcribe
  2. In the pipeline selector, choose Qwen3-ASR-Flash
  3. Upload your file or paste a YouTube URL
  4. Review the quote — you'll see the lower rate automatically

You can switch between pipelines for each transcription. Use GPT-4o for your podcast interviews and Qwen3 for your lecture recordings.

Pricing with Plans

Pricing is flat, not per-minute. Qwen3-ASR-Flash runs on our self-hosted engine, so transcription with it is unlimited on every paid plan. GPT-4o Diarize is a premium model, so it is pay-as-you-go from your wallet.

PlanPriceQwen3-ASR-FlashGPT-4o Diarize
Free$05 hr/mo includedPay-as-you-go
Pro$19/moUnlimitedPay-as-you-go
Business$49/moUnlimitedPay-as-you-go (+ $10/mo premium credit)
EnterpriseCustomUnlimitedVolume pricing

Annual billing gives you 2 months free, and every new account starts with a $5 signup credit. Premium-model usage draws from your wallet at pay-as-you-go rates.

Try Qwen3-ASR-Flash today at transcribe.so/transcribe. Choose the pipeline that fits your job — speaker diarization with GPT-4o, or leaderboard-leading accuracy with Qwen3.

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See it in action

Real output from a real transcription

Browse chapters, ask questions, and explore search results from an actual transcript.

How to Quit Your Job (and Find Work You Actually Love)
Ali Abdaal
Contents
18 chapters · 57 sections
1Why I quit my high-paying job with no plan
2The shame of walking away from success
3Stop accepting low-grade suffering at work
4Are you wired for the pathless path?
5The math behind quitting your job safely
6Use time off to rediscover who you are
7How to fund your freedom on a budget
8Your income streams will evolve over time
9Turn your skills into immediate cash flow
10Treat your career break like a life MBA
11Passion doesn't mean work is easy
12Align your daily actions with your ideal life
13Focus on your mode, not your niche
14Declare yourself retired with the skip test
15Handling family criticism of your career choices
16Would you trade wealth for total freedom?
17Get comfortable with feeling cringe
18Why traditional job security is a myth
Ask this video
Answer
Paul left because the work had quietly stopped fitting who he was, not because of a single dramatic event. Early on he chased prestige and big salaries, optimizing for impressive internships and the markers of success [00:59–02:18]. By around thirty-two the job had drained his energy and passion, and quitting was mostly about escaping that misalignment and getting himself back [04:37–06:04]. When he ran a self-assessment, he realized he'd drifted from the goals he set in grad school, to avoid becoming money-obsessed and to keep his sense of humor, which made clear how far off course he'd gone [06:05–07:55]. The decision was less “follow your dream” and more “stop betraying your own values.”

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