Qwen·#152 of 350 on the current board
Qwen3.5 4B is a language model from Qwen. It ranks #152 of 350 on ModelCap's current board, with an Index score of 41.0, modeled from the publisher's launch results against measured models. Its score range of 26.1–55.8 spans positions #93–#254. Its weights are openly downloadable.
Figures as of 24 Oct 2026, 19:29 UTC · download the public dataset · methodology
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.
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: 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/Qwen3.5-4BOpenRouter 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.
Models within 3 places of #152 on the ModelCap Index.
The same publisher's other current models with a public Index position.
Qwen3.5 4B holds ModelCap Index position #152 of 350 ranked language models as of 24 October 2026, with an Index score of 41.0 (interval 26.1–55.8); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
No live API price is listed for Qwen3.5 4B in the current snapshot as of 24 October 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/Qwen3.5-4B on Hugging Face.
Qwen3.5 4B has published results on 3 public boards tracked by ModelCap as of 24 October 2026: AA Terminal-Bench 2.1 25.8% (#80 of 124), AA τ²-Bench Telecom 92.1% (#11 of 152) and AA Humanity's Last Exam 9.9% (#157 of 265). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
Qwen3.5 4B ranks #152 (Index 41.0) and Qwen3.5 2B ranks #153 (Index 40.8) on the ModelCap Index as of 24 October 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
Qwen3.5 4B first appeared in the catalogue on 27 Feb 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.