OpenAI fast-tracks Garlic AI model to counter Google Gemini's dominance in coding and reasoning

Reviewed byNidhi Govil

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OpenAI is developing a new AI model codenamed Garlic to compete with Google's Gemini 3 and Anthropic's Opus 4.5. Chief Research Officer Mark Chen reports the model performs well in coding and reasoning tasks during internal tests. The development comes as CEO Sam Altman declares a code red to improve ChatGPT amid intensifying AI competition.

OpenAI Responds to Code Red with New Garlic AI Model

OpenAI is developing a new AI model codenamed Garlic as the company races to maintain its competitive edge against Google Gemini and other rivals, according to a report from The Information

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. The initiative comes after CEO Sam Altman declared a code red following Google's release of Gemini 3, which quickly rose to the top of the LMArena AI leaderboard. Chief Research Officer Mark Chen informed colleagues that Garlic has performed well in company evaluations compared to both Gemini 3 and Anthropic's Opus 4.5, particularly in tasks involving coding and reasoning

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Source: ZDNet

Source: ZDNet

Breakthrough in Pretraining Enables Smaller, More Efficient Models

When developing Garlic, OpenAI addressed critical issues with pretraining, the initial phase of training in which the large language model begins learning from a massive dataset

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. The company focused the model on broader connections before training it for more specific tasks. These changes in pretraining enable OpenAI to infuse a smaller model with the same amount of knowledge previously reserved for larger models, according to Chen's remarks. Smaller models offer significant advantages as they are typically more cost-effective and easier to deploy for developers

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AI Competition Intensifies Between Tech Giants

The rivalry between Google and OpenAI has intensified as both companies focus on artificial intelligence development capable of delivering improved results in natural language processing and understanding

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. Both Gemini 3 and Anthropic Opus 4.5, released last month, set new industry standards, with the former leading in reasoning and the latter leading in coding

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. This fierce race can be partially attributed to both vying for the same sector: consumers. In contrast, Anthropic CEO Dario Amodei noted during The New York Times' DealBook Summit that his company isn't facing the same panic because it focuses on serving enterprises rather than consumers. Anthropic just announced that its Claude Code agentic coding tool reached $1 billion in run-rate revenue, only six months after becoming available to the public

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Source: Analytics Insight

Source: Analytics Insight

ChatGPT Improvements Take Priority as Projects Pause

In an internal memo, Sam Altman told employees that several upcoming projects will be paused so teams can concentrate fully on upgrades to ChatGPT

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. These paused projects reportedly include new advertising tools, health-focused and shopping-focused AI agents, and a personal assistant called Pulse. Instead, OpenAI is expected to prioritize improvements to ChatGPT's speed, accuracy, reliability, and personalization. To push things forward more quickly, the company will reportedly hold daily check-ins for teams working on the upgrades

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Source: Digit

Source: Digit

Timeline and Future Implications for Innovation

Mark Chen kept the release timeline vague, saying only "as soon as possible" in the report

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. The company is expected to release an early version of the model as soon as possible, potentially arriving as GPT-5.2 or GPT-5.5, with a launch in early 2026

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. The developments made when creating Garlic have already allowed the company to move on to developing its next bigger and better model, Chen said

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. According to preliminary sources, Garlic may serve as a disruptive innovation that challenges the dominance of Google's Gemini series of models, with ongoing work and interest from different industries suggesting it could alter how everyone uses smart systems for business use cases in the future

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. Garlic is not to be confused with Shallotpeat, a model Altman announced to staff in October, which also aimed to fix bugs in the pretraining process

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