OpenAI Garlic
Redefining the Boundaries of AI Reasoning and Coding
Achieving the industry's strongest reasoning and coding capabilities with smaller models, less training data, and lower costs.
Reasoning & Coding
Chain-of-Thought + real coding tasks outperform Gemini 3 and Claude Opus 4.5.
70%+ SWE-Bench
Target on SWE-Bench Verified (Opus 4.5 ≈ 63%).
Cost Down
Inference price expected 60-80% lower than o3 with low latency.
200-500B Dense
Compact dense architecture with built-in advanced CoT.
Code Red: The Turning Point in AI Competition
On Dec 1, 2025, Sam Altman declared “Code Red.” Facing Gemini 3 atop LMArena and Claude Opus 4.5 in coding, OpenAI needed a breakthrough. Garlic fixes pretraining bottlenecks, shifting from “scale is king” to “efficiency is king.”
Garlic is born— not a simple upgrade, but the result of lessons from Shallotpeat to remove structural pretraining defects.
Addressing ChatGPT’s Pain Points
- Insufficient coding on complex tasks vs Claude Opus 4.5
- Weak multi-step reasoning vs Gemini 3
- High deployment costs
Mission: Use a smaller, more efficient architecture to inject big-model knowledge without massive compute.
From Shallotpeat to Garlic
Garlic is the “fixed younger brother,” absorbing Shallotpeat lessons while adopting a different, stable architecture that internalizes knowledge instead of shallow memory.
Seven Breakthrough Innovations
Revolution in Architecture and Training
Model Architecture: Smaller but More Efficient
Training Methods
Performance Benchmarks (Internal)
From Development to Professional Fields
Comprehensive Surpass or Each Has Advantages?
Release Plan & Expectations
Frequently Asked Questions
Information Sources and Important Notes
Source Highlights
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Important Notes
Follow the AI Efficiency Revolution
Garlic is shaping the shift from “scale is king” to “efficiency is king.” Be first to know when it lands.