LLM AtlasLLM AtlasSearch models

Perplexity

Sonar Deep Research

Overall 72commercial

Perplexity's Sonar Deep Research for automated multi-step research with citation generation. $2/$8 MTok + $2 citation + $3 reasoning + $5 per 1K queries.

Last verified: 2026-03-29Confidence: HighSources: 3
textreasoningtool-use
Input price
$0.002/1K tok
Output price
$0.008/1K tok
Context window
200,000
Max output
65,536
Release date
2025-01-21
Access
api, hosted
License
Proprietary / not disclosed
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

Purpose-built for deep research tasks requiring extensive source gathering and citation.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • Automated research
  • Citation generation
  • Multi-step search
  • Comprehensive answers

Trade-offs

  • Highest cost tier
  • Slowest model
  • Complex pricing

Crawlable benchmark analysis

Sonar Deep Research is positioned as a search-augmented api model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 90/100, coding 65/100, enterprise readiness 88/100, vision 25/100, speed 55/100, and safety 82/100.

Pricing starts at $0.002 per 1K input tokens and $0.008 per 1K output tokens. With a context window of 200,000 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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