The V3-0324 model of DeepSeek has got an upper edge on the AI index through artificial analysis, making it the highest non-reasoning model compared to such proprietary models as Gemini 2.0 Pro, Claude 3.7 Sonnet, and Llama 3.3 70B.
While reasoning models such as DeepSeek R1, OpenAI, and Alibaba continue to lead the race in complex problem-solving, V3-0324 is repositioning open-source AI to play a crucial role in latency-sensitive applications that require real-time response generation.
Revolutionizing Open-Source AI
DeepSeek V3-0324, the fastest amongst non-reasoning reactors and also the most efficient power user-centric model, outperforms proprietary non-reasoning models, thereby exemplifying the new open-source era.
Artificial Analysis calls it a big leap:
“This is the first time a model shows weights in the non-reasoning sector and is on the top of the category.”
Specifications of the Model
- 128k context window (API-limited to 64k)
- 671B total parameters (700GB+ GPU memory for FP8 precision)
- 37B active parameters
- Text-only processing (no multimodal capabilities)
- MIT-licensed
Artificial Analysis says, “But it is still not something that is home-usable,” emphasizing again its need for an industrial-grade solution.
Equalling the Proprietary AI
The pace of DeepSeek’s development has led to a closer distance between open-source and closed AI models. V3-0324 is not only better than before but also better than the private sector’s non-reasoning, a situation that significantly alters the situation of AI.
Artificial Analysis affirms:
“This version is definitively way more impressive than R1.”
As the release of DeepSeek R2 is approaching the open-source AI arena, we can see a further learning process, which outperforms the closed-source platforms of the next-gen AI systems.