Qwen·#246 of 504 in the all-versions archive
Qwen2.5 VL 32B Instruct is a language model from Qwen. It ranks #246 of 504 in ModelCap's all-versions archive, with an Index score of 43.7, modeled from the publisher's launch results against measured models. Its score range of 32.9–54.4 spans positions #174–#337. Its weights are openly downloadable.
Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology
Superseded by Qwen3 VL 32B Instruct. It no longer holds a current-board position; its all-versions archive rank is #246.
OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.
Current provider status is unavailable.
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.
Showing 20 of 32 rows.
No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.
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.
Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.
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.
Qwen/Qwen2.5-VL-32B-InstructOpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
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.
Qwen2.5 VL 32B Instruct is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
No live API price is listed for Qwen2.5 VL 32B Instruct in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
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/Qwen2.5-VL-32B-Instruct on Hugging Face.
Qwen2.5 VL 32B Instruct first appeared in the catalogue on 21 Mar 2025. It has since been superseded by Qwen3 VL 32B Instruct. Rank and price movements since then are recorded on the site's changes feed.