--- title: Google’s cheap model is now two versions ahead of its... description: Google released Gemini 3.7 Flash just three weeks after its predecessor, posting large coding benchmark gains (FrontierCode 1.1: 43.6% vs 34.4%, DeepSWE v1.1:... canonical: https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Google’s cheap model is now two versions ahead of its flagship | daily.dev og:description: Google released Gemini 3.7 Flash just three weeks after its predecessor, posting large coding benchmark gains (FrontierCode 1.1: 43.6% vs 34.4%, DeepSWE v1.1:... og:url: https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga og:image: https://api.daily.dev/og/posts/nIaHwW6gA.png og:image:alt: Google’s cheap model is now two versions ahead of its flagship og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Google’s cheap model is now two versions ahead of its flagship **[The Next Web](https://daily.dev/sources/tnw)** · 2 min read · 0 upvotes · 0 comments ## Summary Google released Gemini 3.7 Flash just three weeks after its predecessor, posting large coding benchmark gains (FrontierCode 1.1: 43.6% vs 34.4%, DeepSWE v1.1: 65.3% vs 49.0%, AutomationBench: 30.4% vs 17.0%). It launches with introductory pricing of $0.75/million input tokens and $3.75/million output tokens until end of December, after which prices double. Meanwhile, the flagship Gemini 3.5 Pro remains months behind schedule after missing internal coding targets, and Axios reports Google may skip it entirely in favor of Gemini 4 Pro. The delay is reportedly hurting DeepMind morale as rival labs hire aggressively. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the pricing and benchmark improvements for Google's Gemini 3.7 Flash model? Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens as introductory pricing through the end of December, after which both prices double. It scores 43.6% on FrontierCode 1.1 (up from 34.4%), 65.3% on DeepSWE v1.1 (up from 49.0%), and 30.4% on AutomationBench (up from 17.0%), reflecting sharp coding gains over its predecessor. _Developers pricing out AI coding models can track pricing and benchmark shifts like these on daily.dev._ ### Is Google's Gemini 3.5 Pro model still coming? Its status is uncertain. Gemini 3.5 Pro is months behind schedule after its coding performance fell short of Google's internal targets, and Axios reported Google could skip it entirely and go straight to Gemini 4 Pro; the company declined to discuss the model's fate. _Teams choosing which Gemini tier to build against can follow roadmap uncertainty like this on daily.dev._ ## Similar posts on daily.dev - [Google's Gemini 3.5 Flash costs 3x the model it replaced, and the era of cheap AI is ending](https://daily.dev/posts/google-s-gemini-3-5-flash-costs-3x-the-model-it-replaced-and-the-era-of-cheap-ai-is-ending-ochkeykzb) · XDA Developers · 2 upvotes · 0 comments - [Gemini 3.1 Flash-Lite: Built for intelligence at scale](https://daily.dev/posts/gemini-3-1-flash-lite-built-for-intelligence-at-scale-oz1mpgrn8) · DeepMind · 1 upvotes · 1 comments --- Tags: [#google](https://daily.dev/tags/google), [#llm](https://daily.dev/tags/llm), [#google-gemini](https://daily.dev/tags/google-gemini) [View this post on daily.dev](https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Google’s cheap model is now two versions ahead of its flagship","url":"https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga"},"datePublished":"2026-08-13T20:18:03.811Z","dateModified":"2026-08-14T00:33:36.437Z","description":"Google released Gemini 3.7 Flash just three weeks after its predecessor, posting large coding benchmark gains (FrontierCode 1.1: 43.6% vs 34.4%, DeepSWE v1.1:...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5a95b6050872809837b5159e991e190f?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5a95b6050872809837b5159e991e190f?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"The Next Web","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The Next Web","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tnw","url":"https://daily.dev/sources/tnw"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"google,llm,google-gemini","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The Next Web","item":"https://daily.dev/sources/tnw"},{"@type":"ListItem","position":3,"name":"Google’s cheap model is now two versions ahead of its flagship"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/google-s-cheap-model-is-now-two-versions-ahead-of-its-flagship-niahww6ga#faq","mainEntity":[{"@type":"Question","name":"What are the pricing and benchmark improvements for Google's Gemini 3.7 Flash model?","acceptedAnswer":{"@type":"Answer","text":"Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens as introductory pricing through the end of December, after which both prices double. It scores 43.6% on FrontierCode 1.1 (up from 34.4%), 65.3% on DeepSWE v1.1 (up from 49.0%), and 30.4% on AutomationBench (up from 17.0%), reflecting sharp coding gains over its predecessor. Developers pricing out AI coding models can track pricing and benchmark shifts like these on daily.dev."}},{"@type":"Question","name":"Is Google's Gemini 3.5 Pro model still coming?","acceptedAnswer":{"@type":"Answer","text":"Its status is uncertain. Gemini 3.5 Pro is months behind schedule after its coding performance fell short of Google's internal targets, and Axios reported Google could skip it entirely and go straight to Gemini 4 Pro; the company declined to discuss the model's fate. Teams choosing which Gemini tier to build against can follow roadmap uncertainty like this on daily.dev."}}]} ```