OpenAI races Google Gemini 3 with new AI model Garlic as code red intensifies competition

Reviewed byNidhi Govil

6 Sources

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OpenAI has declared a code red and is fast-tracking its new AI model Garlic, also known as GPT-5.2, to counter Google's Gemini 3 dominance. The company is shifting resources from flashy features to core model improvements, focusing on reasoning, coding, and speed. Early benchmarks suggest Garlic could outperform both Gemini 3 and Anthropic's Opus 4.5 in critical areas.

OpenAI Declares Code Red as Intense AI Competition Escalates

OpenAI finds itself in unfamiliar territory. After Google's release of Gemini 3 quickly rose to the top of the LMArena AI leaderboard, CEO Sam Altman declared a code red, signaling an urgent company-wide push to improve ChatGPT and reclaim lead in AI market

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. The intense AI competition has forced OpenAI to shift its strategy dramatically, shelving experimental projects and ad integrations to focus exclusively on core model improvements

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. This marks a significant strategic recalibration for a company that once led the AI chatbot market with confidence.

Source: Geeky Gadgets

Source: Geeky Gadgets

The urgency stems from a competitive landscape that has shifted dramatically. Both Gemini 3 and Anthropic's Claude Opus 4.5, released last month, set new industry standards, with Google Gemini leading in reasoning and Anthropic leading in coding

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. OpenAI races Gemini 3 not just for bragging rights, but to maintain relevance among users who increasingly have viable alternatives. The company's Chief Research Officer Mark Chen informed colleagues that addressing these competitive threats required immediate action.

New AI Model Garlic Promises Significant Upgrades in Speed and Reliability

OpenAI is developing a new AI model codenamed Garlic, also referred to as GPT-5.2, designed specifically to address ChatGPT's biggest flaws

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. According to Mark Chen, Garlic has performed well in company evaluations compared to Gemini 3 and Opus 4.5 in tasks involving coding and reasoning

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. The model represents more than an incremental update—it embodies fundamental changes to how OpenAI approaches artificial intelligence development.

Source: ZDNet

Source: ZDNet

When developing Garlic, OpenAI addressed critical issues with pretraining, the initial phase of training where the model begins learning from massive datasets

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. The company focused the model on broader connections before training it for more specific tasks, enabling them to infuse a smaller model with the same knowledge previously reserved for larger models

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. Smaller models prove beneficial for developers as they're typically cheaper and easier to deploy, while also being more cost-effective for the company to build and operate.

Early performance benchmarks suggest GPT-5.2 could outperform Google Gemini 3 in several critical areas, with notable gains in academic reasoning and mathematical problem-solving

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. The anticipated ChatGPT upgrades include enhanced mathematical reasoning, faster processing, increased reliability with fewer errors, and greater customization options for users

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. These improvements aim to improve reasoning and speed while reducing glitches and hallucinations that have plagued earlier versions

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Source: Tom's Guide

Source: Tom's Guide

OpenAI Shifts Strategy from Features to Performance

The company's approach represents a fundamental shift in priorities. OpenAI has become known for added features including Agents, web browsers, and group chats, but while it focused on these additions, competitors kept launching smarter and better models

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. Now the team is fully focused on making the core ChatGPT experience better—something die-hard fans have requested for months

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Reports indicate OpenAI is deprioritizing work on ad integrations and long-term agent rollouts in favor of raw performance

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. The directive now focuses on what users notice most: response times, answer quality, and adaptability

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. This isn't a flashy reinvention but promises smarter reasoning, faster responses, and fewer glitches aimed at winning back everyday users who care more about reliability than bells and whistles

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Release Timeline and Market Implications

Initial reports suggested a December 9 release date, though recent updates indicate potential delays to between December 15-19 or possibly early 2026

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. Chen kept official details vague, saying only "as soon as possible"

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. The developments made when creating Garlic have already allowed the company to move forward with developing its next bigger and better model

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The rivalry between Google and OpenAI can be partially attributed to both vying for the same sector: consumers

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. Meanwhile, Anthropic CEO Dario Amodei noted his company isn't facing the same code red panic because it focuses on serving enterprises rather than consumers, recently announcing that Claude Code reached $1 billion in run-rate revenue just six months after becoming available

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. This suggests different AI innovation paths exist depending on target markets, with OpenAI and Google locked in a consumer-focused battle while Anthropic pursues enterprise dominance. According to preliminary sources, Garlic may serve as a disruptive innovation that challenges the dominance of Google's Gemini series, with potential to alter how businesses use smart systems

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