Qwen·#248 of 274 on the current board
Qwen1.5 14B Chat is a language model from Qwen. It ranks #248 of 274 on ModelCap's current board, with an Index score of 12.1, measured on 1 public benchmark. Its score range of 6.5–17.7 spans positions #222–#267. Its weights are downloadable under a use-restricted licence.
Figures as of 23 Sept 2026, 20:40 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.
Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
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. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
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.
Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, 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.
Arena has published current community results for Default. No default-configuration result is published, so the raw Arena field stays configuration-specific. The strongest supported result can still inform ModelCap Score with reduced confidence.
Current board through 13 Sept 2026, 14:00 UTC
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/Qwen1.5-14B-ChatRestricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.
Models within 3 places of #248 on the ModelCap Index.
The same publisher's other current models with a public Index position.
Qwen1.5 14B Chat holds ModelCap Index position #248 of 274 ranked language models as of 23 September 2026, with an Index score of 12.1 (interval 6.5–17.7); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
No live API price is listed for Qwen1.5 14B Chat in the current snapshot as of 23 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Restricted license (tongyi-qianwen). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is Qwen/Qwen1.5-14B-Chat on Hugging Face.
Qwen1.5 14B Chat's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 23 September 2026. The evidence panel names each source and its publication date.
Qwen1.5 14B Chat first appeared in the catalogue on 30 Jan 2024. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.