Meta's Llama has reached a turning point with developers as delays and disappointment mount

At LlamaCon, Meta's inaugural conference for its Llama LLMs, developers expressed disappointment over the absence of a fully functional reasoning model. Despite the release of Llama 4 Scout and Llama 4 Maverick, as well as a preview of the anticipated Llama 4 Behemoth, many felt that these models were struggling to compete with established rivals like Qwen and DeepSeek in performance and utility. Critics noted that Meta’s Llama family seems to be losing relevance in the rapidly evolving AI landscape despite claims of state-of-the-art performance.

"It would be exciting if they were beating Qwen and DeepSeek. Qwen is ahead, way ahead of what they are doing in general use cases and reasoning."

"Meta continues to tout its commitment to openness, ecosystem-building, and innovation, rivals like DeepSeek, Qwen, and OpenAI are setting a faster pace in areas like reasoning, tool use."

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