Perplexity AI has taken a Chinese-built reasoning model, stripped out its censorship guardrails, and deployed it as a production-ready alternative to some of the most expensive AI systems on the market. The result, called R1-1776, reportedly matches Anthropic’s Claude Opus on key benchmarks at roughly a third of the price.
The fine-tuning playbook
Instead of building from scratch, Perplexity focused its resources on fine-tuning, specifically targeting the alignment and safety layers of DeepSeek-R1. The resulting model, R1-1776, preserves the original’s strong reasoning capabilities while eliminating the built-in censorship that made DeepSeek-R1 problematic for Western users. Topics that the original model would refuse to engage with, or would answer with Chinese government-aligned framing, are now handled without those restrictions.
DeepSeek models are priced at approximately one-sixth or less the cost of flagship Western models for inference tasks. When Perplexity layers its own fine-tuning on top, the math gets interesting fast. Matching Claude Opus benchmarks at roughly a third of the cost means enterprise customers face a genuine pricing dilemma.
Why this matters beyond the AI bubble
