Qwen3 32B is Alibaba’s largest dense Qwen3 \u2014 strong general reasoning and coding under a
\nfully permissive Apache 2.0 licence, with a 128K context. It runs comfortably at 4-bit on a
\n24 GB consumer GPU, needing about 20 GB, and costs $0.08 in \/ $0.28 out per million tokens
\nhosted.<\/p>\n
This is the model that makes an RTX 4090 or 3090 worth owning for inference. At 20 GB it What is Qwen3 32B? Qwen3 32B is Alibaba’s largest dense Qwen3 \u2014 strong general reasoning and coding under a fully […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"cm_developer":"Alibaba","cm_model_type":"LLM (dense)","cm_modality":"Text \u2192 Text","cm_parameters":"32B","cm_context_window":"128K","cm_max_output":"","cm_license":"Apache 2.0 (open)","cm_open_weights":"yes","cm_release_date":"2025","cm_input_price":"0.08","cm_output_price":"0.28","cm_api_providers":"Alibaba, OpenRouter, Ollama","cm_vram_fp16":"","cm_vram_q4":"~20 GB","cm_min_gpu":"RTX 4090 24GB (Q4)","cm_benchmarks":"","cm_official_url":"https:\/\/huggingface.co\/Qwen"},"class_list":["post-1233","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/ai_model\/1233","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/media?parent=1233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nleaves just enough headroom on a 24 GB card for a real context window, and being dense, its
\nquality per gigabyte is the best available in that bracket \u2014 mixture-of-experts models of
\nsimilar capability need far more memory resident even though they compute less per token. For
\nlocal coding assistants and private document work on a single consumer card, it is close to
\nthe practical maximum. Apache 2.0 removes any licensing review, and the hosted price is low
\nenough to prototype against before buying hardware. Check your intended quantisation against
\ndas VRAM-Rechner<\/a> \u2014 the margin on a
\n24 GB card is real but not generous.<\/p>","protected":false},"excerpt":{"rendered":"