Key Takeaways
1. DeepSeek-V3.1 is a new AI model that was launched in December 2024 and is now among the top ten powerful AI models globally.
2. The model was trained using less computing power and at a lower cost, featuring a hybrid design that combines fast non-thinking and more deliberative thinking capabilities.
3. DeepSeek-V3.1 is available for free under the open-source MIT license, but specific hardware requirements apply for different model sizes.
4. Performance improvements include enhanced coding capabilities and better scores on several AI benchmarks compared to previous models.
5. The model supports a 128K token window, and API access pricing will be adjusted post-September 5, 2025, while users can interact with the AI at no cost.
DeepSeek has introduced DeepSeek-V3.1, a new iteration of its innovative AI model that was first launched in December 2024 and quickly became one of the top ten most powerful AI models globally.
Training Breakthroughs
The company amazed everyone by revealing how it trained this model using significantly less computing power and at a lower expense compared to rival models. This new version operates as a hybrid AI, blending a quicker non-thinking model recognized from DeepSeek V3 with a more deliberative thinking model that was characteristic of DeepSeek R1.
Accessibility and Requirements
The new DeepSeek AI LLM model can be downloaded for free under the open-source MIT license. Users who wish to try out the complete 671B DeepSeek-V3.1 model need to have a minimum of 720 GB of available storage (or 170GB for the 1-bit quantized variant). For the smallest quantized model, a robust GPU with at least 24 GB of memory is required, like the Nvidia 5090 GPU with 32 GB of memory available on Amazon.
Performance Enhancements
According to results from the SWE-bench test, the updated DeepSeek-V3.1 model enhances the coding capabilities compared to the previous non-thinking V3 and thinking R1 models. It also achieves better scores across various AI benchmarks in thinking mode than the former R1 model, including xbench-DeepSearch, SimpleQA, and FRAMES AI benchmarks.
The V3.1 AI features a 128K token window, and the API access pricing will be streamlined after September 5, 2025, reflecting its hybrid model. Users can engage with the DeepSeek-V3.1 AI at no cost.
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