Introducing Deep Seek V2: The Ultimate AI Code Model

TLDRDeep Seek V2 is a 236 billion parameter model with a mixture of experts architecture. It has 160 experts for specific tasks and a 128k context window. It performs on par or better than GPT 4 and Claude in multiple benchmarks. Deep Seek V2 is open source, supports English and Chinese languages, and costs about 28 cents per 1 million tokens.

Key insights

🔥Deep Seek V2 is a 236 billion parameter model with a mixture of experts architecture.

💡It has 160 experts for specific tasks and a 128k context window.

🚀Deep Seek V2 performs on par or better than GPT 4 and Claude in multiple benchmarks.

💰The model is open source and costs about 28 cents per 1 million tokens.

🌍It supports English and Chinese languages.

Q&A

How much does Deep Seek V2 cost?

—Deep Seek V2 costs about 28 cents per 1 million tokens.

What languages does Deep Seek V2 support?

—Deep Seek V2 supports English and Chinese languages.

How does Deep Seek V2 perform compared to GPT 4?

—Deep Seek V2 performs on par or better than GPT 4 in multiple benchmarks.

What is the context window size of Deep Seek V2?

—Deep Seek V2 has a 128k context window.

Is Deep Seek V2 an open source model?

—Yes, Deep Seek V2 is an open source model.

Timestamped Summary

00:02Deep Seek V2 is a 236 billion parameter model with a mixture of experts architecture and performs on par or better than GPT 4 and Claude in multiple benchmarks.

01:00Deep Seek V2 has 160 experts for specific tasks and a 128k context window.

02:23Deep Seek V2 costs about 28 cents per 1 million tokens.

02:36Deep Seek V2 supports English and Chinese languages.

03:58Deep Seek V2 has a 128k context window and performs well in benchmarks.

04:48Deep Seek V2 performs on par or better than GPT 4 in coding tasks.

05:32Deep Seek V2 can be tested through their chat platform or by downloading the model locally.

06:25Support the channel by contributing and subscribe for more content.

Browse more