Just a year after surprising the industry with a model that shook up global markets, China’s DeepSeek is back with two new releases — and some ambitious comparisons. The latest open-source models, DeepSeek V3.2 and V3.2-Speciale, can reportedly match or even outperform the most powerful AI systems currently available, including OpenAI’s GPT-5 and Google’s Gemini 3 Pro.
Rather than chasing scale at any cost, DeepSeek continues to push a strategy based on efficiency. While American labs rely on massive clusters of cutting-edge chips, DeepSeek argues its refined training approach can deliver similar intelligence on more accessible hardware. According to the company, even the standard model includes native tool-use reasoning — meaning users get structured thinking capabilities even without switching into a dedicated reasoning mode.
The spotlight, however, is on V3.2-Speciale. DeepSeek claims this version has surpassed GPT-5 on internal benchmarks and sits on par with Gemini 3 Pro in reasoning-heavy tasks. As evidence, the company points to strong showings in the 2025 International Mathematical Olympiad and International Olympiad in Informatics, saying its final entries are published for anyone to inspect.
DeepSeek credits its jump in performance to two main innovations: a custom sparse-attention mechanism designed for long-context efficiency, and an expanded reinforcement learning pipeline trained on more than 85,000 complex, multi-step tasks — all created through its in-house “agentic task synthesis” system.
DeepSeek V3.2 is already available
For those eager to try the models, V3.2 is already available through DeepSeek’s website, mobile apps, and API. The more experimental V3.2-Speciale is accessible only via a temporary API endpoint that is set to be removed after December 15, 2025. It currently runs as a reasoning-only engine, without tool calling.
While independent benchmarking will ultimately determine how these systems stack up against the giants, one thing is increasingly clear: DeepSeek is determined to prove that top-tier AI doesn’t have to come with a top-tier price tag. And that message alone is putting pressure on the rest of the industry to rethink what’s possible — and what’s necessary — to stay competitive.
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