Qwen3-ASR 1.7B released
Alibaba · Model release
Source confirmed
Qwen3-ASR 1.7B
Released Jun 26, 2026 — see all recent releases
Decision reading
Qwen3-ASR 1.7B is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of September 10, 2026 · How the score is built
Share or export
Voice benchmark evidence
Qwen3-ASR model evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Mean WER (1.7B)
5.59
Mean WER (0.6B)
6.31
Provider API ID
Qwen/Qwen3-ASR-1.7B-hf
Provider snapshot · Qwen · 2026-06-26
Spec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- Qwen/Qwen3-ASR-1.7B-hfAlibaba model documentation
- Context window
- N/A
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Published June 26, 2026 under Apache 2.0 on Hugging Face in the Transformers-native format with a 0.6B sibling and a forced-aligner for word timestamps, covering Chinese, English, Cantonese, Arabic, German, French, and more.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordAlibaba model documentation
- Self-host
- Open weights available; hardware estimate not sourced
- Rate limits
- Not tracked yet
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersLineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Jun 26, 2026 · you are here
Qwen3-ASR 1.7BNot publicly ranked · Price not listed
Base entry
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Qwen3-ASR 1.7B, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Qwen3-ASR 1.7B is a open weight model with a N/A context window. No explicit reasoning mode is documented in this profile.
Published June 26, 2026 under Apache 2.0 on Hugging Face in the Transformers-native format with a 0.6B sibling and a forced-aligner for word timestamps, covering Chinese, English, Cantonese, Arabic, German, French, and more.
Qwen3-ASR 1.7B is a display-only open-weight speech recognition model. Transcription results remain separate from BenchLM’s weighted text-model ranking.
The profile has no source-displayable benchmark row yet.
Radar
Full release historyQwen3-ASR 1.7B release history
Radar confirmed these at the source. Use Qwen3-ASR 1.7B in your work? Explore Radar to follow supported changes and choose your alerts.
Frequently asked questions
How does Qwen3-ASR 1.7B perform overall in AI benchmarks?
Qwen3-ASR 1.7B does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Is Qwen3-ASR 1.7B open source?
Qwen3-ASR 1.7B is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Does Qwen3-ASR 1.7B have full benchmark coverage on BenchLM?
No. Qwen3-ASR 1.7B currently has 0 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Qwen3-ASR 1.7B?
Qwen3-ASR 1.7B has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Compare Qwen3-ASR 1.7B with every tracked model482 comparisons
Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch Qwen3-ASR 1.7B in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.