Data as of October 25, 2026 · How the score is built
Qwen3-ASR 1.7B
Decision readingQwen3-ASR 1.7B is tracked, but not publicly ranked yet. Published speech or voice results from Qwen3-ASR model evaluation appear below. They do not produce a weighted text-model score.
Released Jun 26, 2026 — see all recent releases
Voice benchmark evidence
Qwen3-ASR model evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
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
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.
Speech or voice evidence appears above; text-model benchmark coverage remains empty.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
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 parametersQuestions
How does Qwen3-ASR 1.7B perform overall in AI benchmarks?
Qwen3-ASR 1.7B has published speech or voice results in Qwen3-ASR model evaluation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.
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's speech or voice results appear in Qwen3-ASR model evaluation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.
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.