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Version 1.1.0
Sonar Reasoning Pro · Evaluations · Kaino
S
model evaluation

Sonar Reasoning Pro

Perplexity

Web-grounded reasoning model for complex multi-step analysis and research tasks via Perplexity’s Sonar API.

modelsource:perplexity.aireasoningweb-groundedresearchsonar-apiperplexity
64.9KAINO SCORENot recommended
Evaluated Sep 15, 202611 reviews
Website Docs GitHub

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Developer experience80
  • Technical capability78
  • Reasoning & knowledge72
  • Adoption signal71
  • Risk & evidence70
  • Speed & availability68
  • Multimodal & I/O62
  • Cost effectiveness58
  • Coding & agentic48
  • Pricing clarity42

Kainotomic evaluation

Sonar Reasoning Pro is a specialized web-grounded research API rather than a broadly evidenced frontier generalist. Perplexity’s documentation supports API availability and its multi-step research positioning; Artificial Analysis lists a 127k-token context window and an estimated Intelligence Index of 12. This supports a technical score above narrow models such as Bria 3.2, but below Gemini 3.5 Flash, Kimi K2.5, GPT-5.5, and Claude Opus 4.8, which have substantially stronger broad capability and coding evidence. Its strongest independent signal is search-enabled usefulness: Search Arena placed Perplexity-Sonar-Reasoning-Pro at or near the top alongside Gemini 2.5 Pro Grounding, and the accompanying paper reports rank 1 / 1150.1 for the high variant. That should not be generalized into overall reasoning leadership: the same paper reports only a 28.3% ArenaHard-v2 win rate. No listed DeepSWE or LiveCodeBench result exists, and the supplied SWE-bench and Terminal-Bench/Aider references provide no model result, keeping coding and agentic scoring conservative. The documented API and quickstart make developer onboarding credible. Pricing is materially unclear: official supplied material provides no price, while Artificial Analysis displays $0.00 token fields that should not be treated as a usable pricing commitment. Availability and multimodal support are documented only at a limited level. Public preference is meaningful for grounded search, but evidence quality is moderated by absent reproducible coding benchmarks and variant-specific Search Arena reporting.

Strengths

  • Strong public preference evidence for search-augmented, web-grounded answers.
  • Official API documentation and quickstart support practical developer access.
  • 127k-token context listing supports longer research workflows.

Caveats

  • Search Arena leadership is specific to search-enabled preference, not general reasoning or coding.
  • No published DeepSWE or LiveCodeBench entry was found.
  • ArenaHard-v2 preference evidence is comparatively weak at the reported 28.3% win rate.