Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
Sonar results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 27.5 | 100.0 | Artificial Analysis official API |
| SciCode | 23.0 | 100.0 | — |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 69.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 74.5 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 15.2 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 75.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 57.8 | 100.0 | Artificial Analysis official API |
| HLE | 7.0 | 100.0 | — |
Information
- Release date
- January 21, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Sonar
What is Sonar?
Sonar is an AI model developed by Perplexity, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Perplexity's cloud API.
Pricing & Costs in 2026
Sonar 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.
Benchmarks & Performance
Sonar was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate 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.
Recommended Use Cases
Sonar specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Sonar 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.
Frequently Asked Questions
What is Sonar?
Sonar is an AI model developed by Perplexity. It is a text model.
How much does Sonar cost?
Sonar does not have public per-token pricing available at this time. Check Perplexity's official website for up-to-date information.
How does Sonar compare with other models?
In available benchmarks, Sonar scored: LiveCodeBench: 27.5/100, SciCode: 23/100, MMLU-Pro: 69/100. See the full table above for a detailed comparison.
Is Sonar open source?
No, Sonar is a proprietary model from Perplexity. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Sonar best for?
Sonar excels at general-purpose language tasks.
Last updated: May 23, 2026 • View methodology →