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DeepSeek Just matched GPT-5.
90% cheaper. Open-source

Well… we all knew this day was coming.
It’s officially here.

🚨 DeepSeek just dropped two models that rival GPT-5 and Gemini 3 Pro — trained for 90% less cost and released fully open-source.
Silicon Valley is shaking.

Meet DeepSeek V3.2 and its beast variant Speciale:
🏅 Gold medal level on 2025 International Math Olympiad tasks
📊 99.2% on Harvard–MIT Math Tournament
📈 96% on AIME 2025
💻 Codeforces 2701 — expert competitive programmer level

All this while China is banned from buying NVIDIA’s best chips.

🧠 The cheat code? DeepSeek Sparse Attention
Instead of wasting compute on every token in a 128K context,
DeepSeek only focuses on the 2,048 tokens that actually matter.
Same job. 10× cheaper.
Your API bill just went from $1 → $0.07 for the same work.

But here’s the part that should scare everyone:
Most AI forgets what it was thinking every time it uses tools.
🛠️ DeepSeek doesn’t. It keeps reasoning while using multiple tools at once.
Trained on 1,800 synthetic worlds & 85,000 complex tasks, it now fixes real bugs in Python, Java, JS, even PHP — scoring 73% on SWE-Verified right next to GPT-5’s 75%.

And unlike GPT-5…
📥 You can download all 685B parameters today, under an MIT license.
No gatekeeping. No API lock-in.
Any student, dev, or startup can now build frontier-level AI at a tenth of the cost.

The AI monopoly just ended.
💾 Save this.
📤 Share it with every developer tired of paying OpenAI prices — the open-source revolution is here.

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