Perplexity • LLM
Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...
Context Window
128K tokens
Input Price/1M
—
Output Price/1M
—
Parameters
—
Max Output
8K tokens
Sonar Reasoning Pro results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 28.0 | 100.0 | — |
| SciCode | 23.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 76.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 95.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 17.8 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 58.0 | 100.0 | Artificial Analysis official API |
| HLE | 8.0 | 100.0 | — |
Sonar Reasoning Pro is an AI model developed by Perplexity, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Perplexity's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Sonar Reasoning Pro does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Perplexity's official website for up-to-date availability and pricing.
Sonar Reasoning Pro was evaluated on 7 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Sonar Reasoning Pro is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Sonar Reasoning Pro competes directly with similarly capable models. Perplexity competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...
Sonar Reasoning Pro does not have public per-token pricing available at this time. Check Perplexity's official website for up-to-date information.
In available benchmarks, Sonar Reasoning Pro scored: LiveCodeBench: 28/100, SciCode: 23/100, MMLU-Pro: 76/100. See the full table above for a detailed comparison.
No, Sonar Reasoning Pro is a proprietary model from Perplexity. It is available via cloud API. For open source alternatives, check our open source model ranking.
Sonar Reasoning Pro excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: June 22, 2026 • View methodology →