Qwen·qwen/qwen3-vl-32b-instruct
Qwen3 VL 32B Instruct listed OpenRouter input price is $0.104 per 1M tokens and listed output price is $0.416 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Qwen3 VL 32B Instruct has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Qwen3 VL 32B Instruct has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Qwen3 VL 32B Instruct weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Missing: artifactReproducibility.base-lineage, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
Qwen3 VL 32B Instruct has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.
Qwen3 VL 32B Instruct is listed at $0.104 per 1M input tokens and $0.416 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.416 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
Qwen3 VL 32B Instruct has a published context window of 131K tokens (131,072) and a maximum output of 33K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen3-VL-32B-Instruct on Hugging Face.
One provider serves Qwen3 VL 32B Instruct through OpenRouter as of 22 September 2026: Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Qwen3 VL 32B Instruct has published results on 2 public boards tracked by ModelCap as of 22 September 2026: AA τ²-Bench Telecom 29.2% (#278 of 436) and AA Humanity's Last Exam 6.8% (#350 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
Qwen3 VL 32B Instruct first appeared in the catalogue on 23 Oct 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.