--- title: Google's next Gemini Pro model is months behind... description: Google's next Gemini Pro model is significantly delayed, with coding performance failing to meet internal benchmarks. A late June training data refresh... canonical: https://daily.dev/posts/google-s-next-gemini-pro-model-is-months-behind-schedule-with-coding-performance-falling-short-inte-5kkab13gb twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Google's next Gemini Pro model is months behind schedule, with coding performance falling short internally | daily.dev og:description: Google's next Gemini Pro model is significantly delayed, with coding performance failing to meet internal benchmarks. A late June training data refresh... og:url: https://daily.dev/posts/google-s-next-gemini-pro-model-is-months-behind-schedule-with-coding-performance-falling-short-inte-5kkab13gb og:image: https://api.daily.dev/og/posts/5KKaB13Gb.png og:image:alt: Google's next Gemini Pro model is months behind schedule, with coding performance falling short internally 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 next Gemini Pro model is months behind schedule, with coding performance falling short internally **[Collections](https://daily.dev/sources/collections)** · 2 min read · 5 upvotes · 1 comments ## Summary Google's next Gemini Pro model is significantly delayed, with coding performance failing to meet internal benchmarks. A late June training data refresh intended to address the shortfall reportedly disappointed. Structural fragmentation across Google Cloud, DeepMind, and Android teams building competing AI coding tools internally has slowed progress. OpenAI and Meta have shipped models that outperform Google's current offerings in code generation. Senior engineers have been leaving for Anthropic, Sergey Brin is pushing for faster progress but faces internal resistance, and some Flash model users have already migrated to Anthropic. Google reports 75% of its code is now AI-generated and has consolidated developer tooling under an internal platform called Antigravity, but a competitive Gemini Pro launch timeline remains uncertain. ## Content Google released three new Gemini models this week, none of which is the one people have been waiting for. **Gemini 3.6 Flash** is the headliner — a meaningful upgrade over its predecessor with improved coding benchmarks and lower output token pricing at $7.50 per million tokens. **Gemini 3.5 Flash-Lite** is a cheaper, faster option aimed at high-throughput tasks like document processing. **Gemini 3.5 Flash Cyber** is a cybersecurity-focused variant available only to governments and trusted partners through a limited pilot. Gemini 3.5 Pro, which Google promised for June, is still missing. According to people familiar with the situation, it's months behind schedule — and the core problem is coding. A late-June training data refresh intended to close the gap on code generation disappointed internally. Meanwhile, OpenAI and Meta have shipped models that widen the lead Google is trying to close. The structural situation isn't helping. Google Cloud, DeepMind, and Android teams are all building competing AI coding tools, which has slowed coordination. Sergey Brin has pushed for faster progress on AI coding, but faces internal resistance. Google says 75% of its code is now AI-generated and has consolidated developer tooling under an internal platform called Antigravity — though it's unclear how much that's actually accelerating things. The delays have cost Google some people. Senior engineers have been leaving for Anthropic, frustrated with the competitive position. Some customers are making the same move: early feedback on 3.6 Flash is mixed, with a portion switching to Anthropic's Claude. On benchmarks, 3.6 Flash trails Anthropic's Claude Sonnet 5 and OpenAI's GPT-5.6 Terra on most knowledge and coding tasks. It competes on price, which is something — but not what enterprise customers shopping for coding capability are prioritizing. Google did confirm it has started pre-training for Gemini 4, which is either reassuring or a sign that the company is already looking past the Pro model it hasn't shipped yet, depending on how charitable you're feeling. The cynical read floating around is that Google is hedging: if Flash underperforms, they can always point to a bigger model coming. Whether that bigger model actually arrives on time is a different question. ## Community discussion Top comments from developers on daily.dev. **@eadric** · 0 upvotes > Maybe they'd have better success if they didn't require their employees to only use Google products. --- Tags: [#google](https://daily.dev/tags/google), [#llm](https://daily.dev/tags/llm), [#ai-coding](https://daily.dev/tags/ai-coding), [#anthropic](https://daily.dev/tags/anthropic), [#google-gemini](https://daily.dev/tags/google-gemini) [View this post on daily.dev](https://daily.dev/posts/google-s-next-gemini-pro-model-is-months-behind-schedule-with-coding-performance-falling-short-inte-5kkab13gb) ```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 next Gemini Pro model is months behind schedule, with coding performance falling short internally","url":"https://daily.dev/posts/google-s-next-gemini-pro-model-is-months-behind-schedule-with-coding-performance-falling-short-inte-5kkab13gb","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-s-next-gemini-pro-model-is-months-behind-schedule-with-coding-performance-falling-short-inte-5kkab13gb"},"datePublished":"2026-07-21T13:53:51.766Z","dateModified":"2026-07-21T15:38:23.093Z","description":"Google's next Gemini Pro model is significantly delayed, with coding performance failing to meet internal benchmarks. 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