Perplexity AIproprietary
Released: 2024-11-15

Sonar

Lightweight, ultra-low latency conversational search engine model designed for instant lookup and summarization.

Intelligence Index
81.0/ 100
Calibrated multi-domain composite
Throughput Speed
92tok/sec
Output streaming throughput
Time To First Token
290ms
Initial chunk server latency
LiveBench Contam-Free
74.0%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning78.0%
Coding & Repo Repair73.0%
Mathematics (AIME)76.5%
Data Analysis & Tables71.5%
Language & Comprehension72.0%
Instruction Following73.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation61.6%
75
2024-12-13independentSource ↗
SWE-bench VerifiedSaturated56.2%
25
2024-11-24independentSource ↗
IFEvalDeprecated73%
25
2024-11-19independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="sonar",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Sonar represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.