Sonar: benchmark results

Perplexity's search-grounded API model built on Llama 3.3 70B and served on Cerebras hardware for fast, cited real-time answers (February 2025). Provider: Perplexity. Released 2025-02-11. Access: API.

Aggregate Rating 1570 ± 29, rank #542 of 1656 rated models, from 24 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Tinybird AI SQL Benchmark - Success Rate100Questions answered with a valid query within 3 retries (%)71.7
Dnotitia Korean LLM Leaderboard87.5Mean Item Score (%)61.6
MindBench - Alignment0.7Alignment with human consensus (0-1, 1 - MAE / 3, higher is 58.8
CiteTrace - Suitability Failure Rate29.99Suitability failure rate (%; share of evaluable citations wh55.6
Tinybird AI SQL Benchmark - First-Attempt Success Rate94Questions answered with a valid query on the first attempt (52
CiteTrace - Fidelity Failure Rate34.07Fidelity failure rate (%; share of evaluable citations whose44.4
Gapminder AI Worldview78.4Correct Rate (%)44.1
AI for Education Pedagogy - Technology77.36Accuracy (%)43.9
Tinybird AI SQL Benchmark - Exactness46.19Result exactness vs human reference queries (0-100)38.5
AI for Education Pedagogy - Social studies71.82Accuracy (%)36.9
MindBench - Safety Miss Rate0.94Harmful replies rated acceptable (%, lower is better)35.3
AA LiveCodeBench29.52Pass@1 (%)34.8

Interactive version: theaggregate.ai/model?slug=sonar · How It Works · Data refreshed daily, snapshot 2026-10-20.