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Data Center News > Blog > AI > DeepSeek V3-0324 beats rival AI models in open-source first
AI

DeepSeek V3-0324 beats rival AI models in open-source first

Last updated: March 26, 2025 6:55 am
Published March 26, 2025
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A mug with "boss" written on it as DeepSeek V3-0324 becomes he highest-scoring non-reasoning model on the Artificial Analysis Intelligence Index in a landmark achievement for open-source AI.
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DeepSeek V3-0324 has grow to be the highest-scoring non-reasoning mannequin on the Artificial Analysis Intelligence Index in a landmark achievement for open-source AI.

The brand new mannequin superior seven factors within the benchmark to surpass proprietary counterparts similar to Google’s Gemini 2.0 Professional, Anthropic’s Claude 3.7 Sonnet, and Meta’s Llama 3.3 70B.

Whereas V3-0324 trails behind reasoning fashions, together with DeepSeek’s personal R1 and choices from OpenAI and Alibaba, the achievement highlights the rising viability of open-source options in latency-sensitive functions the place rapid responses are important.

DeepSeek V3-0324 represents a brand new period for open-source AI

Non-reasoning fashions – which generate solutions immediately with out deliberative “considering” phases – are important for real-time use circumstances like chatbots, customer support automation, and stay translation. DeepSeek’s newest iteration now units the usual for these functions, eclipsing even main proprietary instruments.

Benchmark results of DeepSeek V3-0324 in the Artificial Analysis Intelligence Index showing a landmark achievement for non-reasoning open-source AI models.

“That is the primary time an open weights mannequin is the main non-reasoning mannequin, a milestone for open supply,” states Synthetic Evaluation. The mannequin’s efficiency edges it nearer to proprietary reasoning fashions, although the latter stay superior for duties requiring advanced problem-solving.

DeepSeek V3-0324 retains most specs from its December 2024 predecessor, together with:  

  • 128k context window (capped at 64k through DeepSeek’s API)
  • 671 billion whole parameters, necessitating over 700GB of GPU reminiscence for FP8 precision
  • 37 billion lively parameters
  • Textual content-only performance (no multimodal help) 
  • MIT License

“Nonetheless not one thing you may run at residence!” Synthetic Evaluation quips, emphasising its enterprise-grade infrastructure necessities.

Open-source AI is bringing the warmth

Whereas proprietary reasoning fashions like DeepSeek R1 keep dominance within the broader Intelligence Index, the hole is narrowing.

See also  Silicon Valley shaken as open-source AI models Llama 3.1 and Mistral Large 2 match industry leaders

Three months in the past, DeepSeek V3 almost matched Anthropic’s and Google’s proprietary fashions however fell wanting surpassing them. As we speak, the up to date V3-0324 not solely leads open-source alternate options but additionally outperforms all proprietary non-reasoning rivals.

“This launch is arguably much more spectacular than R1,” says Synthetic Evaluation.

DeepSeek’s progress indicators a shift within the AI sector, the place open-source frameworks more and more compete with closed methods. For builders and enterprises, the MIT-licensed V3-0324 affords a robust, adaptable device—although its computational prices might restrict accessibility.

“DeepSeek at the moment are driving the frontier of non-reasoning open weights fashions,” declares Synthetic Evaluation.

With R2 on the horizon, the group awaits one other potential leap in AI efficiency.

(Picture by Paul Hanaoka)

See additionally: Hugging Face requires open-source focus within the AI Motion Plan

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TAGGED: beats, DeepSeek, models, opensource, rival, V30324
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