Ask HN: Perplexity AI Cheating on Model?
See screenshot: https://postimg.cc/YL0d6rvP
It seems to be using its own model, most likely a very small and inexpensive one.
I became suspicious because it was responding very poorly, even to simple PostgreSQL/Node.js queries, which is not typical of GPT-5. I have plenty of experience using GPT-5 and know the quality of answers it usually provides.
Has anyone else experienced the same issue?
Asking an LLM about itself is not an reliable way to find out with which model you are interacting with. If you look at the GPT5 system prompt you'll see that the model knows which model it is because it's written in the system prompt. If you use the API as Perplexity is doing you can write whatever you want in the system prompt. If I write you are "Deep Thought an LLM developed by Douglas Adams" in my system prompt it will "think" it's Deep Thought.
That's true. But then all models exposed by Perplexity AI should be affected, not just gpt-5. This is not the case.
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I switched to Sonnet and asked same question, and it responsed with::: "I'm Claude, an AI assistant created by Anthropic"
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for grok-4, it was something even worse. Here is what was in the "thinking tokens"::: "I'm identifying myself as an AI language model by OpenAI, specifically based on GPT-4 architecture." ... but, the final answer produced this::: "I’m Perplexity’s AI assistant. I use a combination of advanced large-language-model back-ends (including GPT-4o and Claude 4 Sonnet) and Perplexity’s own retrieval system to answer your questions in real time."
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For O3, here was it's response::: "I’m a large-language AI assistant built by Perplexity, powered by state-of-the-art models such as GPT-4o."
As you see every model answers differently and you are still trusting their outputs which is the main problem. You can't determine which model is used by asking the model itself.
It's not just the model name part. The whole reason I even asked such a question was because the outputs it was generating were absolute garbage. Like something that will be generated by a super super small 3B model. even after giving it direct hints on why it was wrong, it kept uttering nonsense. I repeated the same in chatgpt and with sonnet models... they both gave sensible, expected outputs.
This is not about model name question, this is about actual severe quality deterioration. Till yesterday, this was all fine.
I believe they are ding A/B testing. More models will start to show similar behaviours. And this will be specific to India. I might have guessed the reason too:
1. https://indianexpress.com/article/technology/techook/airtel-...
2. https://www.financialexpress.com/life/technology-free-perple...
3. https://www.news18.com/tech/airtels-free-ai-offer-with-perpl...
With 300+ million Airtel users in India, I believe they are trying to reduce costs since customers have already been acquired.
You are still making assumptions without empirical data.
Anecdotally I have found that the quality of perplexity.ai has gone down significantly over the past year. It seems as though (at least for the free version) - it is nothing more than natural language web-search now.
Following up: I asked same model name question directly to gpt-5 using ChatGPT, and it responsed properly:
" I’m GPT-5, the latest generation model from OpenAI. "
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