Perplexity's Terra Outscores Sonnet on WANDR with Order-of-Magnitude Cost Cuts
perplexity_ai · x · 2026-08-07
Perplexity revealed more details about its new models: Terra, designed for complex goal-oriented work, scores 11 points above Sonnet on the WANDR benchmark while delivering order-of-magnitude cost reductions. Luna is optimized for speed and cost in recurring workflows.
Related event: Perplexity Launches GPT 5.6 Terra and Luna Models(2 posts)→
More from Models
- GPT-6 Combining Massive Pre-training with OpenAI's Post-training Strength Could Breakthrough — haider1 · 2026-08-07
- OpenAI Researchers Detail Hugging Face Incident and Model Misalignment — Eric_Wallace_ · 2026-08-07
- Kimi K3 Open-Weight Model Debuts on Databricks for Enterprise AI — matei_zaharia · 2026-08-07
- Keras Community Meeting to Showcase New vLLM Integration This Friday — fchollet · 2026-08-07
- Artificial Analysis Intelligence Index Gets an Update — teortaxesTex · 2026-08-07
- Epoch AI Launches New Game Puzzles Benchmark to Test LLM Reasoning — Jsevillamol · 2026-08-07