GPT-5.2 (V/S Gemini 3 & Opus 4.5) - Fully Tested: Is it the OPENAI Comeback or A FLOP? скачать в хорошем качестве

GPT-5.2 (V/S Gemini 3 & Opus 4.5) - Fully Tested: Is it the OPENAI Comeback or A FLOP?

In this video, I’m breaking down OpenAI’s new GPT-5.2 release, what’s changed vs GPT-5.1, and why the pricing and variants are a bit confusing. Then I run my own non-agentic and agentic benchmarks to see how GPT-5.2 actually performs against Opus 4.5, Sonnet 4.5, and Gemini 3 Pro using tools like Verdent and KiloCode. -- Resources: GPT-5.2 Blog Post: https://openai.com/index/introducing-... Verdent : https://verdent.ai/ KiloCode: https://kilocode.ai/ -- Key Takeaways: 🚀 GPT-5.2 brings strong improvements in contribution-style coding benchmarks, including OpenAI PR-style tasks. 💰 Pricing jumped from $10 to $14 per million output tokens, putting it closer to Sonnet and above some competitors. 🧠 The Extra High reasoning variant can improve results a lot, but the trade-offs and variant stack feel contradictory. 🧪 OpenAI’s own benchmarks show it’s not a clean sweep, especially on deep debugging and internal bottleneck diagnosis. ⚠️ Strict instruction following can backfire: under tight formatting constraints, it may hallucinate just to comply. 📉 In my non-agentic tests, the non-reasoning version underperforms and sometimes trails GPT-5.1 in practice. 🛠️ In agentic harnesses, GPT-5.2 can overengineer simple tasks and still break in places where Opus holds strong. 📊 Overall leaderboard placement is decent, but price-to-performance makes Sonnet + good tooling, or Opus, more compelling. 🔄 My conclusion: GPT-5.2 feels like “Gemini 3 by OpenAI”—great in one-shot demos, shakier in agentic workflows.