Qwen3-ASR Review
OSSOpen-weights multilingual ASR models
Among the 43 speech-to-text tools we track, Qwen3-ASR has the 25th-widest language coverage.
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What we know about Qwen3-ASR
Qwen3-ASR sits in the speech-to-text apis category, where it is open-weights multilingual ASR models. We keep this Qwen3-ASR profile grounded in primary sources, each fact dated to when we last confirmed it.
Qwen3-ASR does not publish a public per-minute rate we have been able to verify, so the price figure here stays blank until we can confirm one. We would rather show nothing than a guessed number; if you have a current Qwen3-ASR quote, it is the fastest way for us to close that gap.
On capabilities, Qwen3-ASR covers language auto-detection, word-level timestamps, self-host / on-prem option, and websocket streaming api, and does not offer speech translation. Each of those is verified against Qwen3-ASR's own docs or dashboard, not marketing copy.
Qwen3-ASR ranks the 25th-widest language coverage of the 43 speech-to-text tools we track, so where it lands for you depends on which of those matters more.
In total we track 22 verified facts for Qwen3-ASR today, each linking the primary source it came from so you can check our work - and vendor claims we have not measured ourselves are labeled as such on the Qwen3-ASR fact sheet below.
Reviewed by vsref Editorialfacts verified Jul 20, 2026Methodology →
Qwen3-ASR pricing
Published rates: batch $0.0021/min · streaming $0.0054/min, verified Jul 20, 2026 (source).
| Monthly volume | Batch bill | Streaming bill |
|---|---|---|
| 1K min/moSide project | $2.10 | $5.40 |
| 10K min/moProduction app | $21 | $54 |
| 100K min/moCall-center scale | $210 | $540 |
Sticker rates only; diarization and PII redaction add-ons price in the stack builder. How we compute costs →
Fact sheet
Every row independently verifiedConsidering a switch? Best Qwen3-ASR alternatives →
Voice agents in this stack
The engine is one layer: a voice agent hears through its transcription engine, but orchestration, telephony, and turn-taking come from the agent platform. Compare the platforms builders pair Qwen3-ASR with: Pipecat, OpenAI Realtime API, Twilio ConversationRelay, or the full voice-agent comparison →
Want it done for you?
Qwen3-ASR gets you a transcript; the bot that joins the call, labels speakers, and writes the summary is still your build. If that is more pipeline than you want to own, AI meeting notetakers do the whole job end to end: Otter.ai, Fireflies.ai, Fathom, or the full notetaker comparison.