{"id":1226,"date":"2026-06-22T17:15:12","date_gmt":"2026-06-22T17:15:12","guid":{"rendered":"https:\/\/convly.ai\/model\/gemini-3-1-pro\/"},"modified":"2026-08-03T02:30:14","modified_gmt":"2026-08-03T02:30:14","slug":"gemini-3-1-pro","status":"publish","type":"ai_model","link":"https:\/\/convly.ai\/es\/model\/gemini-3-1-pro\/","title":{"rendered":"Gemini 3.1 Pro"},"content":{"rendered":"<h2>What is Gemini 3.1 Pro?<\/h2>\n<p>Gemini 3.1 Pro is Google&#8217;s Pro-tier multimodal model, combining strong reasoning and<br \/>\nagentic ability with a context window of roughly 1.05M tokens. It is served through Google AI<br \/>\nStudio and Vertex AI at $2 in \/ $12 out per million tokens.<\/p>\n<p>The pricing footnote matters more than the headline rate: prompts above 200K tokens are<br \/>\nbilled at roughly double the input rate. For a model whose main selling point is a million-token<br \/>\ncontext, that creates a sharp cost cliff exactly where you would want to use it. Budgeting a<br \/>\nlong-context feature on the $2 figure will understate the bill substantially once real user<br \/>\nprompts start crossing 200K. The practical response is to design around the threshold \u2014<br \/>\naggressive retrieval and reranking so that prompts stay under it \u2014 or to compare against a<br \/>\nmodel that charges one flat rate across the whole window, such as Claude Opus 4.8. Note too<br \/>\nthat Gemini 3.5 Flash sits below 3.1 Pro on price while outperforming it on coding and<br \/>\nagentic benchmarks, so 3.1 Pro is worth choosing for its multimodal breadth rather than by<br \/>\ndefault.<\/p>","protected":false},"excerpt":{"rendered":"<p>What is Gemini 3.1 Pro? Gemini 3.1 Pro is Google&#8217;s Pro-tier multimodal model, combining strong reasoning and agentic ability with [&hellip;]<\/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":"Google","cm_model_type":"LLM (multimodal)","cm_modality":"Text, Image, Audio, Video \u2192 Text","cm_parameters":"Undisclosed","cm_context_window":"1.05M","cm_max_output":"65K","cm_license":"Proprietary","cm_open_weights":"no","cm_release_date":"2026","cm_input_price":"2.00","cm_output_price":"12.00","cm_api_providers":"Google AI Studio, Vertex AI","cm_vram_fp16":"","cm_vram_q4":"","cm_min_gpu":"","cm_benchmarks":"","cm_official_url":"https:\/\/ai.google.dev\/"},"class_list":["post-1226","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/ai_model\/1226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/es\/wp-json\/wp\/v2\/media?parent=1226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}