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65. These API costs vary significantly between different models. For 6 example, processing a user’s query through Anthropic’s Claude Opus LLM is 7 twenty-four times more expensive for Perplexity than processing the same query 8 through DeepSeek AI’s LLM. 47 Of course, this cost difference is even more 9 significant with regards to use of an outside LLM versus Perplexity’s in-house 10 Sonar LLM (which, as noted above, is far less advanced than the external models 11 offered by Perplexity)


\n \n Original document","title":"Gagleard v. Perplexity AI, Inc.","url":"https://www.courtlistener.com/docket/73496043/1/gagleard-v-perplexity-ai-inc/","vendor":"court_dockets"},"summary":"

65. These API costs vary significantly between different models. For 6 example, processing a user’s query through Anthropic’s Claude Opus LLM is 7 twenty-four times more expensive for Perplexity than processing the same query 8 through DeepSeek AI’s LLM. 47 Of course, this cost difference is even more 9 significant with regards to use of an outside LLM versus Perplexity’s in-house 10 Sonar LLM (which, as noted above, is far less advanced than the external models 11 offered by Perplexity)


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