Summary
Deepseek has unveiled its version 3.2, featuring open-sourced GPT5 level models designed for agents with special reasoning capabilities. These models are accessible through a live web app and API, showcasing exceptional performance surpassing GPT5 in specific benchmarks. The latest Deepseek iteration is cost-effective and efficient, handling extensive context with inputs as large as 128k tokens. Notably, it excels in agentic tasks and mathematical competitions like the International Math Olympiad, exhibiting gold medal-worthy performance.
Introduction of Deepseek version 3.2
Deepseek surprises everyone by open-sourcing GPT5 level models with the launch of Deepseek version 3.2, which includes special reasoning models built for agents.
API Availability and Reasoning Capabilities
Deepseek version 3.2 models are available on the live web app and API, pushing the boundaries of reasoning capabilities with API-only interactions.
Performance and Benchmarks
Deepseek version 3.2 models perform remarkably well, outperforming GP5 high in certain benchmarks and providing impressive improvements.
Efficiency and Pricing Comparison
Deepseek version 3.2 is more efficient and cost-effective in handling massive context with 128k token inputs, making it comparatively cheaper than other Frontier models.
Agentic Benchmarks and Competition Results
Deepseek version 3.2 excels in agentic benchmarks with impressive scores in mathematical competitions such as International Math Olympiad problems, demonstrating gold medal performance.
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