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DeepSeek V3.1 is a unified hybrid reasoning open-weight model that powers agentic workflows—FP8 training, strong post-training for tool/function calling (non-thinking), Anthropic API support, and big SWE-Bench gains. In this video I unpack pricing and token efficiency, benchmark V3.1 vs R1 and Claude Sonnet 4, and show how to use it for coding agents without wasting tokens.
LINKS:
https://api-docs.deepseek.com/news/news250821
https://huggingface.co/deepseek-ai/DeepSeek-V3.1
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00:00 DeepSeek V3.1
00:31 Hybrid Inference Model Explained
01:04 Performance and Efficiency Improvements
05:02 Token Efficiency and Cost Implications
08:03 API and Hosting Considerations
13:23 Testing Read More Prompt Engineering
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