Qwen3 ASR 1.7B HF
Qwen · Qwen/Qwen3-ASR-1.7B-hf
Speech to textTranscribes a recording into words
- Type
- Open weightsApache License 2.0
- Languages
- 30
- Size
- 2B
Context measured in tokens
Our take
Written Aug 2, 2026Qwen3 ASR is a compact downloadable speech-to-text model with an Apache licence and support for 30 languages. It is extremely fast on benchmark hardware and accurate on clean recordings, though its error rate rises sharply on accented speech or meetings and no hosted providers are currently tracked.
Pick this for fast batch transcription of clean audio where you need local deployment, or for multilingual pipelines covering Chinese, Arabic and major European languages. Use it when cloud API access is restricted and an Apache-licensed self-hosted option is required. Skip it if you are transcribing meetings or accented speech, or if you need a hosted provider rather than sourcing weights yourself.
The case for it
- Processes an hour of audio in about four and a half seconds on benchmark hardware, at 796.19 times real time.
- Gets about one word in eighty wrong on clean read-aloud audio.
- Apache 2.0 licence with 30 claimed languages including Chinese, Cantonese, Arabic, German, French, Spanish and Portuguese.
The case against it
- Error rate rises to nearly one word in twelve on accented speech, more than seven times worse than on clean audio.
- No hosted offers tracked; you must self-host or obtain weights independently.
- Every accuracy figure is English-only; the 29 other languages have no measured backing in our data.
How good is it?
TranscriptionTurning speech into text4 of 5Open ASR WER · 14th of 74
95%
Misses roughly one word in 20, averaged over nine English test sets.
796×28th of 62
an hour of audio in 5 seconds, on the board's own hardware. Your machine will differ.
30
Listed on the model card. The accuracy above is English only.
Percentage of words wrong on each set, lower better. Bars are scaled to this model's own worst case, not to the board.
Which languages ↓ ↑
Chinese · English · Cantonese · Arabic · German · French · Spanish · Portuguese · Indonesian · Italian · Korean · Russian · Thai · Vietnamese · Japanese · Turkish · Hindi · Malay · Dutch · Swedish · Danish · Finnish · Polish · Czech · Filipino · Persian · Greek · Hungarian · Macedonian · Romanian
The figures above come from the Open ASR Leaderboard, an independent public test that runs every model on the same recordings. It is the only measurement of transcription quality we know of, so there are no other scores to show.
These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.
Every published score for this model9 scoresEvery figure we hold, from 9 boards, with who ran it and a link to the source — including the boards no rating above is built on.
Can you run it yourself?
- Fits in memory
- weights load entirely on the card
- Spills to system RAM
- some weights offload; much slower
- Too large
- will not load even with offload
- est
- size is calculated; the verdict could change by 10%
Comfortable fit
GeForce RTX 4090 · 24 GB
Room to spare. 20.2 GB spare means a 10% error in the size would not change the answer.
GeForce RTX 5090 · 32 GB
Room to spare. 28.2 GB spare means a 10% error in the size would not change the answer.
Apple M2 (8-core GPU, 8GB unified) · 8 GB
Room to spare. 3.4 GB spare means a 10% error in the size would not change the answer.
Memory use by level
Against a 24 GB card.
All 3 sizes here are calculated, not measured. We hold no measured file for this model, so each size comes from the parameter count and every verdict above inherits that uncertainty.
Check against your own machine → · All 71 devices, with every size →
Models people weigh against Qwen3 ASR 1.7B HF
When we formed this view
Dates behind this page
Prices last checked 6h ago
What we do not know about this model yet
- We hold no measured file for it, so all 3 sizes on this page are calculated from the parameter count.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
Licence and identifiers
What the licence allowsApache License 2.0, what it allows commercially, and the identifiers you need to pull this model — its Hugging Face repo, our slug and a machine-readable card.
Licence
Apache License 2.0
Fully permissive: commercial use, redistribution, and derivatives allowed. Requires attribution and a copy of the license. Includes an express patent grant.
Identifiers
- Hugging Face
- Qwen/Qwen3-ASR-1.7B-hf
- Modality record
- audio->text
- Catalogue slug
- qwen-qwen3-asr-1-7b-hf