OpenAI and Anthropic PBC have launched advanced large language models (LLMs) optimized for reasoning tasks. OpenAI’s open-source models, gpt-oss-120b and gpt-oss-20b, feature 117 billion and 21 billion parameters, respectively, and excel in code running and task optimization. These models employ a mixture-of-experts architecture, activating only the most suitable neural networks for specific prompts. With innovative features like grouped multi-query attention and rotary positional embeddings, they support a context window of 128,000 tokens.
In contrast, Anthropic introduced Claude 4.1 Opus, an upgraded version of its coding model, which improved its SWE-bench score from 72.5% to 74.5%. Claude 4.1 is available via various platforms, enhancing research and analytical capabilities. As AI landscape evolves, enterprises leveraging proprietary data and Reinforcement Learning (RL) will gain the most value, making efficient model deployment essential in today’s competitive market.
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